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ORCIDMengting Wan
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2020 – today
- 2024
[c22]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:
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. ACL (1) 2024: 11100-11115- [c21]Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi:
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. ACL (Findings) 2024: 14996-15014 - [c20]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:
TnT-LLM: Text Mining at Scale with Large Language Models. KDD 2024: 5836-5847 - [i20]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:
TnT-LLM: Text Mining at Scale with Large Language Models. CoRR abs/2403.12173 (2024) - [i19]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:
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. CoRR abs/2403.12388 (2024) - [i18]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:
The Use of Generative Search Engines for Knowledge Work and Complex Tasks. CoRR abs/2404.04268 (2024) - [i17]Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan:
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media. CoRR abs/2405.04656 (2024) - [i16]Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville:
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback. CoRR abs/2408.15549 (2024) - [i15]Wenyue Hua, Mengting Wan, Shashank Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang:
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface. CoRR abs/2410.00079 (2024) - 2023
- [j2]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Causal Effect Estimation under Interference on Hypergraphs. AI Matters 9(2): 15-19 (2023) - [j1]Kiran Tomlinson, Mengting Wan, Cao Lu, Brent J. Hecht, Jaime Teevan, Longqi Yang:
Targeted Training for Multi-organization Recommendation. Trans. Recomm. Syst. 1(3): 1-18 (2023) - [c19]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Learning Causal Effects on Hypergraphs (Extended Abstract). IJCAI 2023: 6463-6467 - [c18]Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu:
Workplace Recommendation with Temporal Network Objectives. KDD 2023: 4958-4969 - [c17]Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan:
Large-Scale Analysis of New Employee Network Dynamics. WWW 2023: 2719-2730 - [i14]Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan:
Large-Scale Analysis of New Employee Network Dynamics. CoRR abs/2304.03441 (2023) - [i13]Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi:
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. CoRR abs/2309.08827 (2023) - [i12]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:
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. CoRR abs/2309.13063 (2023) - [i11]Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi:
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. CoRR abs/2311.09180 (2023) - 2022
- [c16]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Learning Causal Effects on Hypergraphs. KDD 2022: 1202-1212 - [c15]Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang:
RecWork: Workshop on Recommender Systems for the Future of Work. RecSys 2022: 675-677 - [c14]Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. WSDM 2022: 695-703 - [i10]Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. CoRR abs/2201.03662 (2022) - [i9]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Learning Causal Effects on Hypergraphs. CoRR abs/2207.04049 (2022) - [i8]Tobias Schnabel, Mengting Wan, Longqi Yang:
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates. CoRR abs/2211.06365 (2022) - 2020
- [c13]Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM 2020: 64-72 - [c12]Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley:
Addressing Marketing Bias in Product Recommendations. WSDM 2020: 618-626 - [i7]Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR abs/2001.09900 (2020)
2010 – 2019
- 2019
- [b1]Mengting Wan:
Modeling the Dynamics of Consumer Behavior from Massive Interaction Data. University of California, San Diego, USA, 2019 - [c11]Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley:
Fine-Grained Spoiler Detection from Large-Scale Review Corpora. ACL (1) 2019: 2605-2610 - [c10]An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CIKM 2019: 2173-2176 - [i6]Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley:
Fine-Grained Spoiler Detection from Large-Scale Review Corpora. CoRR abs/1905.13416 (2019) - [i5]An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CoRR abs/1908.09972 (2019) - [i4]Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley:
Addressing Marketing Bias in Product Recommendations. CoRR abs/1912.01799 (2019) - 2018
- [c9]Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley:
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. CIKM 2018: 1133-1142 - [c8]Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
Recommendation Through Mixtures of Heterogeneous Item Relationships. CIKM 2018: 1143-1152 - [c7]Mengting Wan, Julian J. McAuley:
Item recommendation on monotonic behavior chains. RecSys 2018: 86-94 - [c6]Rishabh Misra, Mengting Wan, Julian J. McAuley:
Decomposing fit semantics for product size recommendation in metric spaces. RecSys 2018: 422-426 - [c5]Mengting Wan, Julian J. McAuley:
One-Class Recommendation with Asymmetric Textual Feedback. SDM 2018: 648-656 - [i3]Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
Recommendation Through Mixtures of Heterogeneous Item Relationships. CoRR abs/1808.10031 (2018) - [i2]Mengting Wan, Xin Chen:
Beyond "How may I help you?": Assisting Customer Service Agents with Proactive Responses. CoRR abs/1811.10686 (2018) - 2017
- [c4]Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley:
Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. WWW 2017: 1103-1112 - 2016
- [c3]Mengting Wan, Julian J. McAuley:
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. ICDM 2016: 489-498 - [c2]Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao:
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. KDD 2016: 1885-1894 - [i1]Mengting Wan, Julian J. McAuley:
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. CoRR abs/1610.08095 (2016) - 2015
- [c1]Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han:
Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network. SDM 2015: 918-926
Coauthor Index
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