Mengting Wan - RankMe

56 papers A* 9A 11Journal 29Unranked 6

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
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	A*	`conf`	Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface. ICLR Wenyue Hua, Mengting Wan, Jagannath Shashank Subramanya Sai Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang
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	J	`jnl`	Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface. CoRR Wenyue Hua, Mengting Wan, Shashank Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang
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	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`	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	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
2020	A	`conf`	Addressing Marketing Bias in Product Recommendations. WSDM Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley
2020	A	`conf`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020	J	`jnl`	BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2019	J	`jnl`	Addressing Marketing Bias in Product Recommendations. CoRR Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley
2019	A	`conf`	CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CIKM An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2019	J	`jnl`	CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CoRR An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2019	—	`conf`	Fine-Grained Spoiler Detection from Large-Scale Review Corpora. ACL (1) Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley
2019	J	`jnl`	Fine-Grained Spoiler Detection from Large-Scale Review Corpora. CoRR Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley
2019	—	`—`	Modeling the Dynamics of Consumer Behavior from Massive Interaction Data. Mengting Wan
2018	J	`jnl`	Beyond "How may I help you?": Assisting Customer Service Agents with Proactive Responses. CoRR Mengting Wan, Xin Chen
2018	A	`conf`	Decomposing fit semantics for product size recommendation in metric spaces. RecSys Rishabh Misra, Mengting Wan, Julian J. McAuley
2018	A	`conf`	Item recommendation on monotonic behavior chains. RecSys Mengting Wan, Julian J. McAuley
2018	A	`conf`	One-Class Recommendation with Asymmetric Textual Feedback. SDM Mengting Wan, Julian J. McAuley
2018	A	`conf`	Recommendation Through Mixtures of Heterogeneous Item Relationships. CIKM Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2018	J	`jnl`	Recommendation Through Mixtures of Heterogeneous Item Relationships. CoRR Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2018	A	`conf`	Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. CIKM Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley
2017	A*	`conf`	Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. WWW Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley
2016	A*	`conf`	From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. KDD Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao
2016	A*	`conf`	Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. ICDM Mengting Wan, Julian J. McAuley
2016	J	`jnl`	Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. CoRR Mengting Wan, Julian J. McAuley
2015	A	`conf`	Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network. SDM Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han