Longqi Yang - RankMe

73 papers A* 10A 12Journal 40Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Output Critique: Self-Correction via Task Distillation. CoRR Hossein A. Rahmani, Mengting Wan, Pei Zhou, Longqi Yang, Nick Craswell, Emine Yilmaz, Sujay Kumar Jauhar
2026	J	`jnl`	DP-RFT: Learning to Generate Synthetic Text via Differentially Private Reinforcement Fine-Tuning. CoRR Fangyuan Xu, Sihao Chen, Zinan Lin, Taiwei Shi, Sydney Graham, Pei Zhou, Mengting Wan, Alex Stein, Virginia Estellers, Charles Chen, Morris Sharp, Richard Speyer, Tadas Baltrusaitis, Jennifer Neville, Eunsol Choi, Longqi Yang
2026	J	`jnl`	Evaluating LLM-Simulated Conversations in Modeling Inconsistent and Uncollaborative Behaviors in Human Social Interaction. CoRR Ryo Kamoi, Ameya Godbole, Longqi Yang, Rui Zhang, Mengting Wan, Pei Zhou
2026	J	`jnl`	Experiential Reinforcement Learning. CoRR Taiwei Shi, Sihao Chen, Bowen Jiang, Linxin Song, Longqi Yang, Jieyu Zhao
2026	J	`jnl`	One Model, All Roles: Multi-Turn, Multi-Agent Self-Play Reinforcement Learning for Conversational Social Intelligence. CoRR Bowen Jiang, Taiwei Shi, Ryo Kamoi, Yuan Yuan, Camillo J. Taylor, Longqi Yang, Pei Zhou, Sihao Chen
2025	—	`conf`	GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation. ACL (Findings) Jie He, Jennifer Neville, Mengting Wan, Longqi Yang, Hui Liu, Xiaofeng Xu, Xia Song, Jeff Z. Pan, Pei Zhou
2025	J	`jnl`	GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation. CoRR Jie He, Jennifer Neville, Mengting Wan, Longqi Yang, Hui Liu, Xiaofeng Xu, Xia Song, Jeff Z. Pan, Pei Zhou
2025	J	`jnl`	Group Preference Alignment: Customized LLM Response Generation from In-Situ Conversations. CoRR Ishani Mondal, Jack W. Stokes, Sujay Kumar Jauhar, Longqi Yang, Mengting Wan, Xiaofeng Xu, Xia Song, Jennifer Neville
2025	—	`conf`	Group Preference Alignment: Customizing LLM Responses from In-Situ Conversations Only When Needed. EMNLP (Industry Track) Ishani Mondal, Jack W. Stokes, Sujay Kumar Jauhar, Longqi Yang, Mengting Wan, Xiaofeng Xu, Xia Song, Jordan Lee Boyd-Graber, Jennifer Neville
2025	J	`jnl`	Leveraging Large Language Models for Collective Decision-Making. Proc. ACM Hum. Comput. Interact. Marios Papachristou, Longqi Yang, Chin-Chia Hsu
2025	J	`jnl`	ProMediate: A Socio-cognitive framework for evaluating proactive agents in multi-party negotiation. CoRR Ziyi Liu, Bahareh Sarrafzadeh, Pei Zhou, Longqi Yang, Jieyu Zhao, Ashish Sharma
2025	J	`jnl`	Struct-Bench: A Benchmark for Differentially Private Structured Text Generation. CoRR Shuaiqi Wang, Vikas Raunak, Arturs Backurs, Victor Reis, Pei Zhou, Sihao Chen, Longqi Yang, Zinan Lin, Sergey Yekhanin, Giulia Fanti
2025	—	`conf`	Teaching Language Models To Gather Information Proactively. EMNLP (Findings) Tenghao Huang, Sihao Chen, Muhao Chen, Jonathan May, Longqi Yang, Mengting Wan, Pei Zhou
2025	J	`jnl`	Teaching Language Models To Gather Information Proactively. CoRR Tenghao Huang, Sihao Chen, Muhao Chen, Jonathan May, Longqi Yang, Mengting Wan, Pei Zhou
2025	J	`jnl`	Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. ACM Trans. Web Chirag Shah, Ryen White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang
2024	J	`jnl`	Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media. CoRR Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
2024	—	`conf`	Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. ACL (1) Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan
2024	J	`jnl`	Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. CoRR Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan
2024	—	`conf`	S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. ACL (Findings) Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
2024	J	`jnl`	The Use of Generative Search Engines for Knowledge Work and Complex Tasks. CoRR Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
2024	A*	`conf`	TnT-LLM: Text Mining at Scale with Large Language Models. KDD Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
2024	J	`jnl`	TnT-LLM: Text Mining at Scale with Large Language Models. CoRR Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
2024	J	`jnl`	WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback. CoRR Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
2023	J	`jnl`	Causal Effect Estimation under Interference on Hypergraphs. AI Matters Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2023	—	`conf`	Investigating Self-supervised Learning for Predicting Stress and Stressors from Passive Sensing. ACIIW Harish Haresamudram, Jina Suh, Javier Hernandez, Jenna L. Butler, Ahad Chaudhry, Longqi Yang, Koustuv Saha, Mary Czerwinski
2023	A*	`conf`	Large-Scale Analysis of New Employee Network Dynamics. WWW Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan
2023	J	`jnl`	Large-Scale Analysis of New Employee Network Dynamics. CoRR Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan
2023	A*	`conf`	Learning Causal Effects on Hypergraphs (Extended Abstract). IJCAI Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2023	J	`jnl`	Leveraging Large Language Models for Collective Decision-Making. CoRR Marios Papachristou, Longqi Yang, Chin-Chia Hsu
2023	J	`jnl`	PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. CoRR Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
2023	J	`jnl`	S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. CoRR Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
2023	J	`jnl`	Targeted Training for Multi-organization Recommendation. Trans. Recomm. Syst. Kiran Tomlinson, Mengting Wan, Cao Lu, Brent J. Hecht, Jaime Teevan, Longqi Yang
2023	J	`jnl`	Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. CoRR Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang
2023	A*	`conf`	Workplace Recommendation with Temporal Network Objectives. KDD Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
2022	A*	`conf`	Learning Causal Effects on Hypergraphs. KDD Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2022	J	`jnl`	Learning Causal Effects on Hypergraphs. CoRR Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
2022	A	`conf`	Learning Fair Node Representations with Graph Counterfactual Fairness. WSDM Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
2022	J	`jnl`	Learning Fair Node Representations with Graph Counterfactual Fairness. CoRR Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
2022	J	`jnl`	Lightweight Compositional Embeddings for Incremental Streaming Recommendation. CoRR Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
2022	A	`conf`	RecWork: Workshop on Recommender Systems for the Future of Work. RecSys Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang
2022	J	`jnl`	Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates. CoRR Tobias Schnabel, Mengting Wan, Longqi Yang
2022	J	`jnl`	The future of information work. Commun. ACM Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri
2021	A*	`conf`	Large Scale Analysis of Multitasking Behavior During Remote Meetings. CHI Hancheng Cao, Chia-Jung Lee, Shamsi T. Iqbal, Mary Czerwinski, Priscilla N. Y. Wong, Sean Rintel, Brent J. Hecht, Jaime Teevan, Longqi Yang
2021	J	`jnl`	Large Scale Analysis of Multitasking Behavior During Remote Meetings. CoRR Hancheng Cao, Chia-Jung Lee, Shamsi T. Iqbal, Mary Czerwinski, Priscilla N. Y. Wong, Sean Rintel, Brent J. Hecht, Jaime Teevan, Longqi Yang
2021	A	`conf`	Learning to Represent Human Motives for Goal-directed Web Browsing. RecSys Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan
2021	J	`jnl`	Learning to Represent Human Motives for Goal-directed Web Browsing. CoRR Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan
2021	A	`conf`	Local Factor Models for Large-Scale Inductive Recommendation. RecSys Longqi Yang, Tobias Schnabel, Paul N. Bennett, Susan T. Dumais
2021	J	`jnl`	Personal Productivity and Well-being - Chapter 2 of the 2021 New Future of Work Report. CoRR Jenna L. Butler, Mary Czerwinski, Shamsi T. Iqbal, Sonia Jaffe, Kate Nowak, Emily Peloquin, Longqi Yang
2020	J	`jnl`	How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19. CoRR Longqi Yang, Sonia Jaffe, David Holtz, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Shah, Kevin Sherman, Chia-Jung Lee, Brent J. Hecht, Jaime Teevan
2019	J	`jnl`	Creative Procedural-Knowledge Extraction From Web Design Tutorials. CoRR Longqi Yang, Chen Fang, Hailin Jin, Walter Chang, Deborah Estrin
2019	A*	`conf`	How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content. WWW Longqi Yang, Michael Sobolev, Yu Wang, Jenny Chen, Drew Dunne, Christina Tsangouri, Nicola Dell, Mor Naaman, Deborah Estrin
2019	A	`conf`	Leveraging post-click feedback for content recommendations. RecSys Hongyi Wen, Longqi Yang, Deborah Estrin
2019	A	`conf`	More Than Just Words: Modeling Non-Textual Characteristics of Podcasts. WSDM Longqi Yang, Yu Wang, Drew Dunne, Michael Sobolev, Mor Naaman, Deborah Estrin
2019	A*	`conf`	RecBoard: A Web-based Platform for Recommendation System Research and Development. WWW Mohit Chawla, Kriti Singh, Longqi Yang, Deborah Estrin
2019	—	`—`	User-centric Recommendation Systems. Longqi Yang
2018	J	`jnl`	Characterizing User Skills from Application Usage Traces with Hierarchical Attention Recurrent Networks. ACM Trans. Intell. Syst. Technol. Longqi Yang, Chen Fang, Hailin Jin, Matthew D. Hoffman, Deborah Estrin
2018	A	`conf`	Exploring recommendations under user-controlled data filtering. RecSys Hongyi Wen, Longqi Yang, Michael Sobolev, Deborah Estrin
2018	A	`conf`	Modularizing deep neural network-inspired recommendation algorithms. RecSys Longqi Yang, Eugene Bagdasaryan, Hongyi Wen
2018	A	`conf`	OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms. WSDM Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, Deborah Estrin
2018	A	`conf`	Unbiased offline recommender evaluation for missing-not-at-random implicit feedback. RecSys Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge J. Belongie, Deborah Estrin
2018	A	`conf`	Understanding user interactions with podcast recommendations delivered via voice. RecSys Longqi Yang, Michael Sobolev, Christina Tsangouri, Deborah Estrin
2017	A*	`conf`	Collaborative Metric Learning. WWW Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin
2017	—	`conf`	Personalizing Software and Web Services by Integrating Unstructured Application Usage Traces. WWW (Companion Volume) Longqi Yang, Chen Fang, Hailin Jin, Matthew D. Hoffman, Deborah Estrin
2017	J	`jnl`	Yum-Me: A Personalized Nutrient-Based Meal Recommender System. ACM Trans. Inf. Syst. Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, John P. Pollak, Nicola Dell, Serge J. Belongie, Curtis L. Cole, Deborah Estrin
2016	—	`conf`	GroupLink: Group Event Recommendations Using Personal Digital Traces. CSCW Companion Honghao Wei, Cheng-Kang Hsieh, Longqi Yang, Deborah Estrin
2016	A*	`conf`	Immersive Recommendation: News and Event Recommendations Using Personal Digital Traces. WWW Cheng-Kang Hsieh, Longqi Yang, Honghao Wei, Mor Naaman, Deborah Estrin
2016	J	`jnl`	Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain. IEEE J. Sel. Top. Signal Process. Min S. Hane Aung, Faisal Alquaddoomi, Cheng-Kang Hsieh, Mashfiqui Rabbi, Longqi Yang, John P. Pollak, Deborah Estrin, Tanzeem Choudhury
2016	J	`jnl`	Your Activities of Daily Living (YADL): An Image-based Survey Technique for Patients with Arthritis. CoRR Longqi Yang, Diana Freed, Alex Wu, Judy Wu, John P. Pollak, Deborah Estrin
2016	—	`conf`	Your activities of daily living (YADL): an image-based survey technique for patients with arthritis. PervasiveHealth Longqi Yang, Diana Freed, Alex Wu, Judy Wu, John P. Pollak, Deborah Estrin
2016	J	`jnl`	Yum-me: Personalized Healthy Meal Recommender System. CoRR Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, Nicola Dell, Serge J. Belongie, Deborah Estrin
2015	—	`conf`	Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis. ICDM Workshops Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin
2015	J	`jnl`	Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis. CoRR Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin
2015	A	`conf`	PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. CIKM Longqi Yang, Yin Cui, Fan Zhang, John P. Pollak, Serge J. Belongie, Deborah Estrin