Mengting Wan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
11
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback. | Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Sihao Chen, Shan Xia, Hongfei Zhang, Jieyu Zhao, Xiaofeng Xu, Xia Song, Jennifer Neville |
| 2025 | ACL | GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation. | Jie He, Jennifer Neville, Mengting Wan, Longqi Yang, Hui Liu, Xiaofeng Xu, Xia Song, Jeff Z. Pan, Pei Zhou |
| 2025 | EMNLP | Teaching Language Models To Gather Information Proactively. | Tenghao Huang, Sihao Chen, Muhao Chen, Jonathan May, Longqi Yang, Mengting Wan, Pei Zhou |
| 2025 | EMNLP | Group Preference Alignment: Customizing LLM Responses from In-Situ Conversations Only When Needed. | Ishani Mondal, Jack W. Stokes, Sujay Kumar Jauhar, Longqi Yang, Mengting Wan, Xiaofeng Xu, Xia Song, Jordan Lee Boyd-Graber, Jennifer Neville |
| 2025 | ICLR | Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface. | Wenyue Hua, Mengting Wan, Jagannath Shashank Subramanya Sai Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang |
| 2024 | ACL | S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. | Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi |
| 2024 | ACL | Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. | 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 | KDD | TnT-LLM: Text Mining at Scale with Large Language Models. | 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 |
| 2023 | IJCAI | Learning Causal Effects on Hypergraphs (Extended Abstract). | Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan |
| 2023 | KDD | Workplace Recommendation with Temporal Network Objectives. | Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu |
| 2023 | WWW | Large-Scale Analysis of New Employee Network Dynamics. | Yulin Yu, Longqi Yang, Sin Lindley, Mengting Wan |
| 2022 | KDD | Learning Causal Effects on Hypergraphs. | Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan |
| 2022 | RecSys | RecWork: Workshop on Recommender Systems for the Future of Work. | Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang |
| 2022 | WSDM | Learning Fair Node Representations with Graph Counterfactual Fairness. | Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li |
| 2020 | WSDM | Addressing Marketing Bias in Product Recommendations. | Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley |
| 2020 | SDM | BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. | Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu |
| 2019 | ACL | Fine-Grained Spoiler Detection from Large-Scale Review Corpora. | Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley |
| 2019 | CIKM | CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. | An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley |
| 2018 | CIKM | Recommendation Through Mixtures of Heterogeneous Item Relationships. | Wang-Cheng Kang, Mengting Wan, Julian J. McAuley |
| 2018 | CIKM | Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. | Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley |
| 2018 | RecSys | Decomposing fit semantics for product size recommendation in metric spaces. | Rishabh Misra, Mengting Wan, Julian J. McAuley |
| 2018 | RecSys | Item recommendation on monotonic behavior chains. | Mengting Wan, Julian J. McAuley |
| 2018 | SDM | One-Class Recommendation with Asymmetric Textual Feedback. | Mengting Wan, Julian J. McAuley |
| 2017 | WWW | Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. | Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley |
| 2016 | ICDM | Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. | Mengting Wan, Julian J. McAuley |
| 2016 | KDD | From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. | Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao |
| 2015 | SDM | Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network. | Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han |