SIGIR A*

388 papers

YearTitle / Authors
2024"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time.
Scott Rome, Tianwen Chen, Raphael Tang, Luwei Zhou, Ferhan Ture
2024"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval".
Andrew Parry, Debasis Ganguly, Manish Chandra
20245th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024).
Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci
2024A Dual-Embedding Based DQN for Worker Recruitment in Spatial Crowdsourcing with Social Network.
Yucen Gao, Wei Liu, Jianxiong Guo, Xiaofeng Gao, Guihai Chen
2024A Field Guide to Automatic Evaluation of LLM-Generated Summaries.
Tempest A. van Schaik, Brittany Pugh
2024A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation.
Jing Xiao, Weike Pan, Zhong Ming
2024A Large Scale Test Corpus for Semantic Table Search.
Aristotelis Leventidis, Martin Pekár Christensen, Matteo Lissandrini, Laura Di Rocco, Katja Hose, Renée J. Miller
2024A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product Offers.
Wenyu Huang, André Melo, Jeff Z. Pan
2024A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search.
Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch
2024A Persona-Infused Cross-Task Graph Network for Multimodal Emotion Recognition with Emotion Shift Detection in Conversations.
Geng Tu, Feng Xiong, Bin Liang, Ruifeng Xu
2024A Predictive Framework for Query Reformulation.
Reyhaneh Goli
2024A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search.
Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu
2024A Question-Answering Assistant over Personal Knowledge Graph.
Lingyuan Liu, Huifang Du, Xiaolian Zhang, Mengying Guo, Haofen Wang, Meng Wang
2024A Reproducibility Study of PLAID.
Sean MacAvaney, Nicola Tonellotto
2024A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare Organization.
Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed
2024A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models.
Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, Guido Zuccon
2024A Study on Unsupervised Question and Answer Generation for Legal Information Retrieval and Precedents Understanding.
Johny Moreira, Altigran S. da Silva, Edleno Silva de Moura, Leandro Bezerra Marinho
2024A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage Retrieval.
Ivica Kostric, Krisztian Balog
2024A Taxation Perspective for Fair Re-ranking.
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2024A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce.
Jinhan Liu, Qiyu Chen, Junjie Xu, Junjie Li, Baoli Li, Sulong Xu
2024A Workbench for Autograding Retrieve/Generate Systems.
Laura Dietz
2024ACE-2005-PT: Corpus for Event Extraction in Portuguese.
Luís Filipe Cunha, Purificação Silvano, Ricardo Campos, Alípio Jorge
2024ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries.
Qiaosheng Chen, Weiqing Luo, Zixian Huang, Tengteng Lin, Xiaxia Wang, Ahmet Soylu, Basil Ell, Baifan Zhou, Evgeny Kharlamov, Gong Cheng
2024AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations.
Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
2024Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment.
Xinyu Zhu, Lilin Zhang, Ning Yang
2024Adaptive In-Context Learning with Large Language Models for Bundle Generation.
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2024AgentIR: 1st Workshop on Agent-based Information Retrieval.
Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2024Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation.
Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma
2024Amazon-KG: A Knowledge Graph Enhanced Cross-Domain Recommendation Dataset.
Yuhan Wang, Qing Xie, Mengzi Tang, Lin Li, Jingling Yuan, Yongjian Liu
2024An E-Commerce Dataset Revealing Variations during Sales.
Jianfu Zhang, Qingtao Yu, Yizhou Chen, Guoliang Zhou, Yawen Liu, Yawei Sun, Chen Liang, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Han Yu
2024An Empirical Analysis on Multi-turn Conversational Recommender Systems.
Lu Zhang, Chen Li, Yu Lei, Zhu Sun, Guanfeng Liu
2024An Integrated Data Processing Framework for Pretraining Foundation Models.
Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao
2024Analyzing Fusion Methods Using the Condorcet Rule.
Liron Tyomkin, Oren Kurland
2024Analyzing and Mitigating Repetitions in Trip Recommendation.
Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou
2024ArabicaQA: A Comprehensive Dataset for Arabic Question Answering.
Abdelrahman Abdallah, Mahmoud SalahEldin Kasem, Mahmoud Abdalla, Mohamed Mahmoud, Mohamed Elkasaby, Yasser Elbendary, Adam Jatowt
2024Are Embeddings Enough? SIRIP Panel on the Future of Embeddings in Industry IR Systems.
Jon Degenhardt, Tracy Holloway King
2024Are Large Language Models Good at Utility Judgments?
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?
Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke
2024AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems.
Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming
2024Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models.
Catherine Chen, Jack Merullo, Carsten Eickhoff
2024Axiomatic Guidance for Efficient and Controlled Neural Search.
Andrew Parry
2024BRB-KMeans: Enhancing Binary Data Clustering for Binary Product Quantization.
Suwon Lee, Sang-Min Choi
2024Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems.
Dayu Yang, Fumian Chen, Hui Fang
2024Behavior Pattern Mining-based Multi-Behavior Recommendation.
Haojie Li, Zhiyong Cheng, Xu Yu, Jinhuan Liu, Guanfeng Liu, Junwei Du
2024Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation.
Mingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han
2024Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions.
Soumyadeep Roy, Aparup Khatua, Fatemeh Ghoochani, Uwe Hadler, Wolfgang Nejdl, Niloy Ganguly
2024Bi-Objective Negative Sampling for Sensitivity-Aware Search.
Jack McKechnie, Graham McDonald, Craig Macdonald
2024Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check.
Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
2024Bootstrap Deep Metric for Seed Expansion in Attributed Networks.
Chunquan Liang, Yifan Wang, Qiankun Chen, Xinyuan Feng, Luyue Wang, Mei Li, Hongming Zhang
2024Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.
Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation.
Huy Dao, Yang Deng, Dung D. Le, Lizi Liao
2024Browsing and Searching Metadata of TREC.
Timo Breuer, Ellen M. Voorhees, Ian Soboroff
2024C-Pack: Packed Resources For General Chinese Embeddings.
Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff, Defu Lian, Jian-Yun Nie
2024CIQA: A Coding Inspired Question Answering Model.
Mousa Arraf, Kira Radinsky
2024CIRAL: A Test Collection for CLIR Evaluations in African Languages.
Mofetoluwa Adeyemi, Akintunde Oladipo, Xinyu Zhang, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Boxing Chen, Abdul-Hakeem Omotayo, Idris Abdulmumin, Naome A. Etori, Toyib Babatunde Musa, Samuel Fanijo, Oluwabusayo Olufunke Awoyomi, Saheed Abdullahi Salahudeen, Labaran Adamu Mohammed, Daud Olamide Abolade, Falalu Ibrahim Lawan, Maryam Sabo Abubakar, Ruqayya Nasir Iro, Amina Abubakar Imam, Shafie Abdi Mohamed, Hanad Mohamud Mohamed, Tunde Oluwaseyi Ajayi, Jimmy Lin
2024CLLP: Contrastive Learning Framework Based on Latent Preferences for Next POI Recommendation.
Hongli Zhou, Zhihao Jia, Haiyang Zhu, Zhizheng Zhang
2024CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation.
Xiaolong Xu, Hongsheng Dong, Lianyong Qi, Xuyun Zhang, Haolong Xiang, Xiaoyu Xia, Yanwei Xu, Wanchun Dou
2024COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks.
Lili Zhao, Qi Liu, Linan Yue, Wei Chen, Liyi Chen, Ruijun Sun, Chao Song
2024CWRCzech: 100M Query-Document Czech Click Dataset and Its Application to Web Relevance Ranking.
Josef Vonásek, Milan Straka, Rostislav Krc, Lenka Lasonová, Ekaterina Egorova, Jana Straková, Jakub Náplava
2024CaDRec: Contextualized and Debiased Recommender Model.
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu
2024CaLa: Complementary Association Learning for Augmenting Comoposed Image Retrieval.
Xintong Jiang, Yaxiong Wang, Mengjian Li, Yujiao Wu, Bingwen Hu, Xueming Qian
2024Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange.
Ankit Satpute, Noah Gießing, André Greiner-Petter, Moritz Schubotz, Olaf Teschke, Akiko Aizawa, Bela Gipp
2024Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
2024Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance.
Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
2024Capability-aware Prompt Reformulation Learning for Text-to-Image Generation.
Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma
2024CaseLink: Inductive Graph Learning for Legal Case Retrieval.
Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
2024Characterizing Information Seeking Processes with Multiple Physiological Signals.
Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina
2024ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages.
Bhawna Piryani, Jamshid Mozafari, Adam Jatowt
2024CivilSum: A Dataset for Abstractive Summarization of Indian Court Decisions.
Manuj Malik, Zheng Zhao, Marcio Fonseca, Shrisha Rao, Shay B. Cohen
2024Clinical Trial Retrieval via Multi-grained Similarity Learning.
Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma
2024Cluster-based Partial Dense Retrieval Fused with Sparse Text Retrieval.
Yingrui Yang, Parker Carlson, Shanxiu He, Yifan Qiao, Tao Yang
2024CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models.
Peiyuan Gong, Jiamian Li, Jiaxin Mao
2024Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity.
Yu Hou, Jin-Duk Park, Won-Yong Shin
2024Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection.
Xia Zeng, David La Barbera, Kevin Roitero, Arkaitz Zubiaga, Stefano Mizzaro
2024Configurable Fairness for New Item Recommendation Considering Entry Time of Items.
Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li, Jie Zhang
2024Content-based Graph Reconstruction for Cold-start Item Recommendation.
Jinri Kim, Eungi Kim, Kwangeun Yeo, Yujin Jeon, Chanwoo Kim, Sewon Lee, Joonseok Lee
2024Contextualization with SPLADE for High Recall Retrieval.
Eugene Yang
2024Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion.
Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai
2024ConvLogRecaller: Real-Time Conversational Lifelog Recaller.
Yuan-Chi Lee, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen
2024Convex Feature Embedding for Face and Voice Association.
Jiwoo Kang, Taewan Kim, Young-Ho Park
2024CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks.
Xiaoxi Li, Zhicheng Dou, Yujia Zhou, Fangchao Liu
2024Counterfactual Augmentation for Robust Authorship Representation Learning.
Hieu Man, Thien Huu Nguyen
2024Counterfactual Ranking Evaluation with Flexible Click Models.
Alexander Buchholz, Ben London, Giuseppe Di Benedetto, Jan Malte Lichtenberg, Yannik Stein, Thorsten Joachims
2024Course Recommender Systems Need to Consider the Job Market.
Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser
2024Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation.
Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang
2024DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion.
Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar
2024DDPO: Direct Dual Propensity Optimization for Post-Click Conversion Rate Estimation.
Hongzu Su, Lichao Meng, Lei Zhu, Ke Lu, Jingjing Li
2024DHMAE: A Disentangled Hypergraph Masked Autoencoder for Group Recommendation.
Yingqi Zhao, Haiwei Zhang, Qijie Bai, Changli Nie, Xiaojie Yuan
2024Data-efficient Fine-tuning for LLM-based Recommendation.
Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua
2024Dataset and Models for Item Recommendation Using Multi-Modal User Interactions.
Simone Borg Bruun, Krisztian Balog, Maria Maistro
2024DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation.
Yu Li, Yi Zhang, Zimu Zhou, Qiang Li
2024Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed.
Xuejian Li, Ze Wang, Bingqi Zhu, Fei He, Yongkang Wang, Xingxing Wang
2024Deep Pattern Network for Click-Through Rate Prediction.
Hengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang, Xiu Li
2024Denoising Diffusion Recommender Model.
Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua
2024Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation.
Xinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
2024Detecting and Explaining Emotions in Video Advertisements.
Joachim Vanneste, Manisha Verma, Debasis Ganguly
2024Diffusion Models for Generative Outfit Recommendation.
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
2024Dimension Importance Estimation for Dense Information Retrieval.
Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2024Disentangled Contrastive Hypergraph Learning for Next POI Recommendation.
Yantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, Xingxing Wang
2024Disentangling ID and Modality Effects for Session-based Recommendation.
Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma
2024Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization.
Pancheng Wang, Shasha Li, Dong Li, Kehan Long, Jintao Tang, Ting Wang
2024Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation.
Yoori Oh, Yoseob Han, Kyogu Lee
2024Distillation for Multilingual Information Retrieval.
Eugene Yang, Dawn J. Lawrie, James Mayfield
2024Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search.
Hideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. de Vries, Jeff Dalton, Faegheh Hasibi
2024Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval.
Guangyuan Ma, Xing Wu, Zijia Lin, Songlin Hu
2024Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation.
Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen
2024EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval.
Xixi Zhou, Yang Gao, Xin Jie, Xiaoxu Cai, Jiajun Bu, Haishuai Wang
2024ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation.
Chaoqun Hou, Yuanhang Zhou, Yi Cao, Tong Liu
2024EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation.
Shaorun Zhang, Zhiyu He, Ziyi Ye, Peijie Sun, Qingyao Ai, Min Zhang, Yiqun Liu
2024EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems.
Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang
2024EditKG: Editing Knowledge Graph for Recommendation.
Gu Tang, Xiaoying Gan, Jinghe Wang, Bin Lu, Lyuwen Wu, Luoyi Fu, Chenghu Zhou
2024Efficient Community Search Based on Relaxed
Xiaoqin Xie, Shuangyuan Liu, Jiaqi Zhang, Shuai Han, Wei Wang, Wu Yang
2024Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations.
Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
2024Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection.
Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
2024Embedding Based Deduplication in E-commerce AutoComplete.
Shaodan Zhai, Yuwei Chen, Yixue Li
2024Empowering Large Language Models: Tool Learning for Real-World Interaction.
Hongru Wang, Yujia Qin, Yankai Lin, Jeff Z. Pan, Kam-Fai Wong
2024Enhanced Packed Marker with Entity Information for Aspect Sentiment Triplet Extraction.
You Li, Xupeng Zeng, Yixiao Zeng, Yuming Lin
2024Enhancing Baidu Multimodal Advertisement with Chinese Text-to-Image Generation via Bilingual Alignment and Caption Synthesis.
Kang Zhao, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wen Tao, Cong Han, Shuanglong Li, Lin Liu
2024Enhancing Criminal Case Matching through Diverse Legal Factors.
Jie Zhao, Ziyu Guan, Wei Zhao, Yue Jiang
2024Enhancing Dataset Search with Compact Data Snippets.
Qiaosheng Chen, Jiageng Chen, Xiao Zhou, Gong Cheng
2024Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.
Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou
2024Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity.
Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2024Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees.
Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis
2024EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention.
Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen
2024Evaluating Generative Ad Hoc Information Retrieval.
Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, Martin Potthast
2024Evaluating Retrieval Quality in Retrieval-Augmented Generation.
Alireza Salemi, Hamed Zamani
2024Evaluating Search System Explainability with Psychometrics and Crowdsourcing.
Catherine Chen, Carsten Eickhoff
2024Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models.
Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An
2024Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition.
Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu
2024Explainability for Transparent Conversational Information-Seeking.
Weronika Lajewska, Damiano Spina, Johanne R. Trippas, Krisztian Balog
2024Explainable Uncertainty Attribution for Sequential Recommendation.
Carles Balsells Rodas, Fan Yang, Zhishen Huang, Yan Gao
2024Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach.
Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu
2024Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan
2024Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering.
Yi Zhang, Lei Sang, Yiwen Zhang
2024Exploring the Trade-Off within Visual Information for MultiModal Sentence Summarization.
Minghuan Yuan, Shiyao Cui, Xinghua Zhang, Shicheng Wang, Hongbo Xu, Tingwen Liu
2024FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking.
Vinay Setty
2024Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach.
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
2024Fair Sequential Recommendation without User Demographics.
Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024Fairness-Aware Exposure Allocation via Adaptive Reranking.
Thomas Jänich, Graham McDonald, Iadh Ounis
2024Fake News Detection via Multi-scale Semantic Alignment and Cross-modal Attention.
Jiandong Wang, Hongguang Zhang, Chun Liu, Xiongjun Yang
2024Faster Learned Sparse Retrieval with Block-Max Pruning.
Antonio Mallia, Torsten Suel, Nicola Tonellotto
2024FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation.
Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang, Guido Zuccon
2024FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction.
Wentao Ouyang, Rui Dong, Ri Tao, Xiangzheng Liu
2024Fine-Tuning LLaMA for Multi-Stage Text Retrieval.
Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin
2024Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval.
Haoqiang Lin, Haokun Wen, Xuemeng Song, Meng Liu, Yupeng Hu, Liqiang Nie
2024FineRec: Exploring Fine-grained Sequential Recommendation.
Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma
2024Flexible and Adaptable Summarization via Expertise Separation.
Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qingqing Zhu, Rui Yan, Xin Gao, Xiangliang Zhang
2024From Text to Context: An Entailment Approach for News Stakeholder Classification.
Alapan Kuila, Sudeshna Sarkar
2024GATS: Generative Audience Targeting System for Online Advertising.
Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo
2024GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration.
Ben Wang
2024GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
2024GUITAR: Gradient Pruning toward Fast Neural Ranking.
Weijie Zhao, Shulong Tan, Ping Li
2024Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval.
Gabriel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Ziyan Jiang
2024General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study.
Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
2024Generalizable Tip-of-the-Tongue Retrieval with LLM Re-ranking.
Luís Borges, Rohan Jha, Jamie Callan, Bruno Martins
2024Generative Retrieval as Multi-Vector Dense Retrieval.
Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren
2024Generative Retrieval via Term Set Generation.
Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Fangchao Liu, Zhao Cao
2024Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems.
Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
2024Graded Relevance Scoring of Written Essays with Dense Retrieval.
Salam Albatarni, Sohaila Eltanbouly, Tamer Elsayed
2024Grand: A Fast and Accurate Graph Retrieval Framework via Knowledge Distillation.
Lin Lan, Pinghui Wang, Rui Shi, Tingqing Liu, Juxiang Zeng, Feiyang Sun, Yang Ren, Jing Tao, Xiaohong Guan
2024Graph Diffusive Self-Supervised Learning for Social Recommendation.
Jiuqiang Li, Hongjun Wang
2024Graph Reasoning Enhanced Language Models for Text-to-SQL.
Zheng Gong, Ying Sun
2024Graph Signal Diffusion Model for Collaborative Filtering.
Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong
2024Graph-Based Audience Expansion Model for Marketing Campaigns.
Md. Mostafizur Rahman, Daisuke Kikuta, Yu Hirate, Toyotaro Suzumura
2024GraphGPT: Graph Instruction Tuning for Large Language Models.
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
2024Grasping Both Query Relevance and Essential Content for Query-focused Summarization.
Ye Xiong, Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang, Hiroya Takamura, Manabu Okumura
2024Hierarchical Semantics Alignment for 3D Human Motion Retrieval.
Yang Yang, Haoyu Shi, Huaiwen Zhang
2024High Recall Retrieval Via Technology-Assisted Review.
Lenora Gray, David D. Lewis, Jeremy Pickens, Eugene Yang
2024Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement.
Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu
2024Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems.
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li
2024I3: Intent-Introspective Retrieval Conditioned on Instructions.
Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang
2024IDGenRec: LLM-RecSys Alignment with Textual ID Learning.
Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
2024IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT.
Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose
2024IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues.
Diji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
2024IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems.
Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini
2024Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement.
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2024IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders.
Ge Chen, Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu, Cuicui Luo
2024Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.
Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai
2024Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion.
Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman
2024Improving In-Context Learning via Sequentially Selection and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis.
Qianlong Wang, Keyang Ding, Xuan Luo, Ruifeng Xu
2024Improving the Accuracy of Locally Differentially Private Community Detection by Order-consistent Data Perturbation.
Taolin Guo, Shunshun Peng, Zhejian Zhang, Mengmeng Yang, Kwok-Yan Lam
2024Inferring Climate Change Stances from Multimodal Tweets.
Nan Bai, Ricardo da Silva Torres, Anna Fensel, Tamara Metze, Art Dewulf
2024Information Diffusion Prediction via Cascade-Retrieved In-context Learning.
Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen
2024Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts.
Subhendu Khatuya, Koushiki Sinha, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal
2024Instruction-based Hypergraph Pretraining.
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2024Intent Distribution based Bipartite Graph Representation Learning.
Haojie Li, Wei Wei, Guanfeng Liu, Jinhuan Liu, Feng Jiang, Junwei Du
2024Interest Clock: Time Perception in Real-Time Streaming Recommendation System.
Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu
2024International Workshop on Algorithmic Bias in Search and Recommendation (BIAS).
Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras
2024Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images.
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
2024JDivPS: A Diversified Product Search Dataset.
Zhirui Deng, Zhicheng Dou, Yutao Zhu, Xubo Qin, Pengchao Cheng, Jiangxu Wu, Hao Wang
2024JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs.
Wanying Ding, Manoj Cherukumalli, Santosh Chikoti, Vinay K. Chaudhri
2024LADy 💃: A Benchmark Toolkit for Latent Aspect Detection Enriched with Backtranslation Augmentation.
Farinam Hemmatizadeh, Christine Wong, Alice Yu, Hossein Fani
2024LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image Retrieval.
Zhenyu Yang, Dizhan Xue, Shengsheng Qian, Weiming Dong, Changsheng Xu
2024LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous Graphs.
Fengyi Wang, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
2024LLM4Eval: Large Language Model for Evaluation in IR.
Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2024LLMGR: Large Language Model-based Generative Retrieval in Alipay Search.
Wei Chen, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu
2024LLaRA: Large Language-Recommendation Assistant.
Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He
2024Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning.
Xiaotong Zhang, Xinyi Li, Han Liu, Xinyue Liu, Xianchao Zhang
2024Language Fairness in Multilingual Information Retrieval.
Eugene Yang, Thomas Jänich, James Mayfield, Dawn J. Lawrie
2024Large Language Model Powered Agents for Information Retrieval.
An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua
2024Large Language Models Based Stemming for Information Retrieval: Promises, Pitfalls and Failures.
Shuai Wang, Shengyao Zhuang, Guido Zuccon
2024Large Language Models and Future of Information Retrieval: Opportunities and Challenges.
ChengXiang Zhai
2024Large Language Models are Learnable Planners for Long-Term Recommendation.
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
2024Large Language Models can Accurately Predict Searcher Preferences.
Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
2024Large Language Models for Intent-Driven Session Recommendations.
Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong
2024Large Language Models for Next Point-of-Interest Recommendation.
Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim
2024Large Language Models for Recommendation: Past, Present, and Future.
Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng
2024Large Language Models for Tabular Data: Progresses and Future Directions.
Haoyu Dong, Zhiruo Wang
2024LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset.
Haitao Li, Yunqiu Shao, Yueyue Wu, Qingyao Ai, Yixiao Ma, Yiqun Liu
2024Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients.
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
2024Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods.
Shounak Paul, Rajas Bhatt, Pawan Goyal, Saptarshi Ghosh
2024Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning.
Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
2024Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering.
Duokang Wang, Linmei Hu, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li
2024Leveraging LLMs for Detecting and Modeling the Propagation of Misinformation in Social Networks.
Payel Santra
2024Leveraging LLMs for Unsupervised Dense Retriever Ranking.
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
2024Lightweight Embeddings for Graph Collaborative Filtering.
Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
2024LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation.
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024M
Xingning Dong, Zipeng Feng, Chunluan Zhou, Xuzheng Yu, Ming Yang, Qingpei Guo
2024M
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024MACA: Memory-aided Coarse-to-fine Alignment for Text-based Person Search.
Liangxu Su, Rong Quan, Zhiyuan Qi, Jie Qin
2024MACRec: A Multi-Agent Collaboration Framework for Recommendation.
Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang
2024MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate Impact.
Bart van den Hurk, Maarten de Rijke, Flora D. Salim
2024MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation.
Andreea Iana, Goran Glavas, Heiko Paulheim
2024MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment.
Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong
2024MKV: Mapping Key Semantics into Vectors for Rumor Detection.
Yang Li, Liguang Liu, Jiacai Guo, Lap-Kei Lee, Fu Lee Wang, Zhenguo Yang
2024MTMS: Multi-teacher Multi-stage Knowledge Distillation for Reasoning-Based Machine Reading Comprehension.
Zhuo Zhao, Zhiwen Xie, Guangyou Zhou, Jimmy Xiangji Huang
2024Machine Generated Explanations and Their Evaluation.
Edward Richards
2024Masked Graph Transformer for Large-Scale Recommendation.
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
2024MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation.
Zijie J. Wang, Duen Horng Chau
2024MealRec
Ming Li, Lin Li, Xiaohui Tao, Jimmy Xiangji Huang
2024Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding.
Dongning Ma, Xun Jiao
2024MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning.
Ruijie Wang, Yutong Zhang, Jinyang Li, Shengzhong Liu, Dachun Sun, Tianchen Wang, Tianshi Wang, Yizhuo Chen, Denizhan Kara, Tarek F. Abdelzaher
2024Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies.
Chih-Wei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz, Craig Boutilier
2024Misinformation Mitigation Praxis: Lessons Learned and Future Directions from Co·Insights.
Scott A. Hale, Kiran Garimella, Shiri Dori-Hacohen
2024MoME: Mixture-of-Masked-Experts for Efficient Multi-Task Recommendation.
Jiahui Xu, Lu Sun, Dengji Zhao
2024ModelGalaxy: A Versatile Model Retrieval Platform.
Wenling Zhang, Yixiao Li, Zhaotian Li, Hailong Sun, Xiang Gao, Xudong Liu
2024Modeling Domains as Distributions with Uncertainty for Cross-Domain Recommendation.
Xianghui Zhu, Mengqun Jin, Hengyu Zhang, Chang Meng, Daoxin Zhang, Xiu Li
2024Modeling Scholarly Collaboration and Temporal Dynamics in Citation Networks for Impact Prediction.
Pengwei Yan, Yangyang Kang, Zhuoren Jiang, Kaisong Song, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu
2024Modeling User Fatigue for Sequential Recommendation.
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
2024Monitoring the Evolution of Behavioural Embeddings in Social Media Recommendation.
Srijan Saket, Olivier Jeunen, Md. Danish Kalim
2024Mosaicing Prevention in Declassification.
Nathaniel W. Rollings
2024Multi-Domain Sequential Recommendation via Domain Space Learning.
Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
2024Multi-Layer Ranking with Large Language Models for News Source Recommendation.
Wenjia Zhang, Lin Gui, Rob Procter, Yulan He
2024Multi-granular Adversarial Attacks against Black-box Neural Ranking Models.
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024Multi-intent-aware Session-based Recommendation.
Minjin Choi, Hye-young Kim, Hyunsouk Cho, Jongwuk Lee
2024Multi-view Mixed Attention for Contrastive Learning on Hypergraphs.
Jongsoo Lee, Dong-Kyu Chae
2024Multilingual Meta-Distillation Alignment for Semantic Retrieval.
Meryem M'hamdi, Jonathan May, Franck Dernoncourt, Trung Bui, Seunghyun Yoon
2024Multimodal Representation and Retrieval [MRR 2024].
Xinliang Zhu, Arnab Dhua, Douglas Gray, I. Zeki Yalniz, Tan Yu, Mohamed Elhoseiny, Bryan A. Plummer
2024Multimodality Invariant Learning for Multimedia-Based New Item Recommendation.
Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang
2024Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations.
Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
2024NFARec: A Negative Feedback-Aware Recommender Model.
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu
2024NativE: Multi-modal Knowledge Graph Completion in the Wild.
Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
2024Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting.
Thilina Chaturanga Rajapakse, Andrew Yates, Maarten de Rijke
2024Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning.
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2024Neural Click Models for Recommender Systems.
Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko
2024Neural Passage Quality Estimation for Static Pruning.
Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney
2024OEHR: An Orthopedic Electronic Health Record Dataset.
Yibo Xie, Kaifan Wang, Jiawei Zheng, Feiyan Liu, Xiaoli Wang, Guofeng Huang
2024Old IR Methods Meet RAG.
Oz Huly, Idan Pogrebinsky, David Carmel, Oren Kurland, Yoelle Maarek
2024On Backbones and Training Regimes for Dense Retrieval in African Languages.
Akintunde Oladipo, Mofetoluwa Adeyemi, Jimmy Lin
2024On Generative Agents in Recommendation.
An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua
2024On the Evaluation of Machine-Generated Reports.
James Mayfield, Eugene Yang, Dawn J. Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Selin Kayi, Kate Sanders, Marc Mason, Noah Hibbler
2024On the Negative Perception of Cross-domain Recommendations and Explanations.
Denis Kotkov, Alan Medlar, Yang Liu, Dorota Glowacka
2024OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems.
Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
2024OpenSiteRec: An Open Dataset for Site Recommendation.
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing
2024Optimal Transport Enhanced Cross-City Site Recommendation.
Xinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, Chunxiao Xing
2024Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation.
Alireza Salemi, Surya Kallumadi, Hamed Zamani
2024Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model.
Enqiang Xu, Yiming Qiu, Junyang Bai, Ping Zhang, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Mingming Li
2024Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance.
Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis
2024PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors.
Vikas Yadav, Zheng Tang, Vijay Srinivasan
2024PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval.
Dawn J. Lawrie, Efsun Selin Kayi, Eugene Yang, James Mayfield, Douglas W. Oard
2024Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation.
Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo
2024Personalized Large Language Models through Parameter Efficient Fine-Tuning Techniques.
Marco Braga
2024Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding.
Hansi Zeng, Chen Luo, Hamed Zamani
2024Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation.
Ting Zhong, Jian Lang, Yifan Zhang, Zhangtao Cheng, Kunpeng Zhang, Fan Zhou
2024Prediction of the Realisation of an Information Need: An EEG Study.
Niall McGuire, Yashar Moshfeghi
2024Preventing and Detecting Misinformation Generated by Large Language Models.
Aiwei Liu, Qiang Sheng, Xuming Hu
2024ProCIS: A Benchmark for Proactive Retrieval in Conversations.
Chris Samarinas, Hamed Zamani
2024Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Grace Hui Yang, Hongning Wang, Sam Han, Claudia Hauff, Guido Zuccon, Yi Zhang
2024PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.
Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang
2024QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims.
Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty
2024Query Performance Prediction for Conversational Search and Beyond.
Chuan Meng
2024Question Suggestion for Conversational Shopping Assistants Using Product Metadata.
Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
2024R-ODE: Ricci Curvature Tells When You Will be Informed.
Li Sun, Jingbin Hu, Mengjie Li, Hao Peng
2024RAG-Ex: A Generic Framework for Explaining Retrieval Augmented Generation.
Viju Sudhi, Sinchana Ramakanth Bhat, Max Rudat, Roman Teucher
2024RLStop: A Reinforcement Learning Stopping Method for TAR.
Reem Bin Hezam, Mark Stevenson
2024Ranked List Truncation for Large Language Model-based Re-Ranking.
Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke
2024ReCODE: Modeling Repeat Consumption with Neural ODE.
Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu
2024ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit.
Wenjie Li, Zhongren Wang, Jinpeng Wang, Shutao Xia, Jile Zhu, Mingjian Chen, Jiangke Fan, Jia Cheng, Jun Lei
2024ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval.
Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, Martin Potthast
2024Recent Advances in Generative Information Retrieval.
Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke
2024Reflections on the Coding Ability of LLMs for Analyzing Market Research Surveys.
Shi Zong, Santosh Kolagati, Amit Chaudhary, Josh Seltzer, Jimmy Lin
2024Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling.
Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2024Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.
Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu
2024Relevance Feedback Method For Patent Searching Using Vector Subspaces.
Sebastian Björkqvist
2024Representation Learning and Information Retrieval.
Yiming Yang
2024Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses.
Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin
2024Resources for Combining Teaching and Research in Information Retrieval Coursework.
Maik Fröbe, Harrisen Scells, Theresa Elstner, Christopher Akiki, Lukas Gienapp, Jan Heinrich Reimer, Sean MacAvaney, Benno Stein, Matthias Hagen, Martin Potthast
2024ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement.
Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu
2024Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs.
Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke
2024Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking.
Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner
2024Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering.
Zhentao Xu, Mark Jerome Cruz, Matthew Guevara, Tie Wang, Manasi Deshpande, Xiaofeng Wang, Zheng Li
2024Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport.
Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng
2024Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval.
Watheq Mansour, Shengyao Zhuang, Guido Zuccon, Joel Mackenzie
2024Robust Information Retrieval.
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke
2024SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation.
Muskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
2024SIGIR 2024 Workshop on Simulations for Information Access (Sim4IA 2024).
Philipp Schaer, Christin Katharina Kreutz, Krisztian Balog, Timo Breuer, Norbert Fuhr
2024SIGIR 2024 Workshop on eCommerce (ECOM24).
Surya Kallumadi, Yubin Kim, Tracy Holloway King, Maarten de Rijke, Vamsi Salaka
2024SIGformer: Sign-aware Graph Transformer for Recommendation.
Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang
2024SLH-BIA: Short-Long Hawkes Process for Buy It Again Recommendations at Scale.
Rankyung Park, Amit Pande, David Relyea, Pushkar Chennu, Prathyusha Kanmanth Reddy
2024SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores.
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2024SPLATE: Sparse Late Interaction Retrieval.
Thibault Formal, Stéphane Clinchant, Hervé Déjean, Carlos Lassance
2024Scalable Community Search over Large-scale Graphs based on Graph Transformer.
Yuxiang Wang, Xiaoxuan Gou, Xiaoliang Xu, Yuxia Geng, Xiangyu Ke, Tianxing Wu, Zhiyuan Yu, Runhuai Chen, Xiangying Wu
2024Scaling Laws For Dense Retrieval.
Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu
2024Scaling Sequential Recommendation Models with Transformers.
Pablo Zivic, Hernán Ceferino Vázquez, Jorge Sánchez
2024Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang
2024ScholarNodes: Applying Content-based Filtering to Recommend Interdisciplinary Communities within Scholarly Social Networks.
Md Asaduzzaman Noor, Jason A. Clark, John W. Sheppard
2024ScienceDirect Topic Pages: A Knowledge Base of Scientific Concepts Across Various Science Domains.
Artemis Çapari, Hosein Azarbonyad, Georgios Tsatsaronis, Zubair Afzal, Judson Dunham
2024Search under Uncertainty: Cognitive Biases and Heuristics: A Tutorial on Testing, Mitigating and Accounting for Cognitive Biases in Search Experiments.
Jiqun Liu, Leif Azzopardi
2024Searching for Physical Documents in Archival Repositories.
Tokinori Suzuki, Douglas W. Oard, Emi Ishita, Yoichi Tomiura
2024Self-Explainable Next POI Recommendation.
Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou
2024Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models.
Xinwei Li, Li Lin, Shuai Wang, Chen Qian
2024Self-Referential Review: Exploring the Impact of Self-Reference Effect in Review.
Kyusik Kim, Hyungwoo Song, Bongwon Suh
2024SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation.
Yuxi Liu, Lianghao Xia, Chao Huang
2024Semi-supervised Prototype Semantic Association Learning for Robust Cross-modal Retrieval.
Junsheng Wang, Tiantian Gong, Yan Yan
2024Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization.
Yi Yu, Kazunari Sugiyama, Adam Jatowt
2024Sequential Recommendation with Latent Relations based on Large Language Model.
Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, Min Zhang
2024Shadowfax: Harnessing Textual Knowledge Base Population.
Maxime Prieur, Cédric du Mouza, Guillaume Gadek, Bruno Grilhères
2024Short Video Ordering via Position Decoding and Successor Prediction.
Shiping Ge, Qiang Chen, Zhiwei Jiang, Yafeng Yin, Ziyao Chen, Qing Gu
2024Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval.
Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua
2024SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval.
Zihao Li, Yuyi Ao, Jingrui He
2024Steering Large Language Models for Cross-lingual Information Retrieval.
Ping Guo, Yubing Ren, Yue Hu, Yanan Cao, Yunpeng Li, Heyan Huang
2024Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization.
Hamed Zamani, Michael Bendersky
2024Striking the Right Chord: A Comprehensive Approach to Amazon Music Search Spell Correction.
Siddharth Sharma, Shiyun Yang, Ajinkya Walimbe, Tarun Sharma, Joaquin Delgado
2024SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content.
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Boyang Liu, Qianqian Xie, Sophia Ananiadou
2024Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models.
Vinay Setty
2024SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks.
Michael Shliselberg, Ashkan Kazemi, Scott A. Hale, Shiri Dori-Hacohen
2024Synthetic Query Generation using Large Language Models for Virtual Assistants.
Sonal Sannigrahi, Thiago Fraga-Silva, Youssef Oualil, Christophe Van Gysel
2024Synthetic Test Collections for Retrieval Evaluation.
Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
2024Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR.
Nandan Thakur, Luiz Bonifacio, Maik Fröbe, Alexander Bondarenko, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, Jimmy Lin
2024TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning.
Ruijie Wang, Jingyuan Huang, Yutong Zhang, Jinyang Li, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis, Tarek F. Abdelzaher
2024TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision.
Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang
2024TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants.
Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffrey Dalton, Leif Azzopardi
2024TextData: Save What You Know and Find What You Don't.
Kevin Ros, Kedar Takwane, Ashwin Patil, Rakshana Jayaprakash, ChengXiang Zhai
2024The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking.
Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani
2024The Power of Noise: Redefining Retrieval for RAG Systems.
Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
2024The Second Workshop on Large Language Models for Individuals, Groups, and Society.
Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang
2024The Surprising Effectiveness of Rankers trained on Expanded Queries.
Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand
2024The Treatment of Ties in Rank-Biased Overlap.
Matteo Corsi, Julián Urbano
2024Third Workshop on Personalization and Recommendations in Search (PaRiS).
Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang
2024Timeline Summarization in the Era of LLMs.
Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, Manish Gupta
2024To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process.
Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu
2024TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning.
Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
2024Towards Ethical Item Ranking: A Paradigm Shift from User-Centric to Item-Centric Approaches.
Guilherme Ramos, Mirko Marras, Ludovico Boratto
2024Towards Human-centered Proactive Conversational Agents.
Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua
2024Towards Robust QA Evaluation via Open LLMs.
Ehsan Kamalloo, Shivani Upadhyay, Jimmy Lin
2024Towards a Framework for Legal Case Retrieval.
Tebo Leburu-Dingalo
2024Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models.
Alireza Salemi, Hamed Zamani
2024TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.
Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim
2024Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph.
Zhiyu Fang, Shuai-Long Lei, Xiaobin Zhu, Chun Yang, Shi-Xue Zhang, Xu-Cheng Yin, Jingyan Qin
2024Treatment Effect Estimation for User Interest Exploration on Recommender Systems.
Jiaju Chen, Wenjie Wang, Chongming Gao, Peng Wu, Jianxiong Wei, Qingsong Hua
2024TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions.
Jamshid Mozafari, Anubhav Jangra, Adam Jatowt
2024Truth-O-Meter: Handling Multiple Inconsistent Sources Repairing LLM Hallucinations.
Boris Galitsky, Anton Chernyavskiy, Dmitry Ilvovsky
2024Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation.
Jin-Duk Park, Yong-Min Shin, Won-Yong Shin
2024UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching.
Quanxing Zha, Xin Liu, Yiu-ming Cheung, Xing Xu, Nannan Wang, Jianjia Cao
2024USimAgent: Large Language Models for Simulating Search Users.
Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao
2024Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset.
Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke
2024Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
2024Unbiased Validation of Technology-Assisted Review for eDiscovery.
Gordon V. Cormack, Maura R. Grossman, Andrew Harbison, Tom O'Halloran, Bronagh McManus
2024Uncontextualized significance considered dangerous.
Nicola Ferro, Mark Sanderson
2024UniSAR: Modeling User Transition Behaviors between Search and Recommendation.
Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song
2024Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification.
Le Dai, Yu Yin, Enhong Chen, Hui Xiong
2024Universal Adversarial Perturbations for Vision-Language Pre-trained Models.
Peng-Fei Zhang, Zi Huang, Guangdong Bai
2024Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering.
Alex Martinez, Mihnea Tufis, Ludovico Boratto
2024Unsupervised Cross-Domain Image Retrieval with Semantic-Attended Mixture-of-Experts.
Kai Wang, Jiayang Liu, Xing Xu, Jingkuan Song, Xin Liu, Heng Tao Shen
2024Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback.
Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
2024Untargeted Adversarial Attack on Knowledge Graph Embeddings.
Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu
2024Using Large Language Models for Math Information Retrieval.
Behrooz Mansouri, Reihaneh Maarefdoust
2024Using and Evaluating Quantum Computing for Information Retrieval and Recommender Systems.
Maurizio Ferrari Dacrema, Andrea Pasin, Paolo Cremonesi, Nicola Ferro
2024Weighted KL-Divergence for Document Ranking Model Refinement.
Yingrui Yang, Yifan Qiao, Shanxiu He, Tao Yang
2024What Matters in a Measure? A Perspective from Large-Scale Search Evaluation.
Paul Thomas, Gabriella Kazai, Nick Craswell, Seth Spielman
2024What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the Wild.
Johanne R. Trippas, Sara Fahad Dawood Al Lawati, Joel Mackenzie, Luke Gallagher
2024When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
2024Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation Systems.
Yang Li, Qi'ao Zhao, Chen Lin, Jinsong Su, Zhilin Zhang
2024YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy.
Fabian M. Suchanek, Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, Jules Soria
2024unKR: A Python Library for Uncertain Knowledge Graph Reasoning by Representation Learning.
Jingting Wang, Tianxing Wu, Shilin Chen, Yunchang Liu, Shutong Zhu, Wei Li, Jingyi Xu, Guilin Qi