Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings. - Lu Wang 008; Claire Cardie (SIGDIAL Conference, 2012)

Focused Meeting Summarization via Unsupervised Relation Extraction. - Lu Wang 008; Claire Cardie (SIGDIAL Conference, 2012)

Domain-Independent Abstract Generation for Focused Meeting Summarization. - Lu Wang 008; Claire Cardie (ACL (1), 2013)

A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization. - Lu Wang 008; Hema Raghavan; Vittorio Castelli; Radu Florian; Claire Cardie (ACL (1), 2013)

A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection. - Lu Wang 008; Claire Cardie (ACL (2), 2014)

Query-Focused Opinion Summarization for User-Generated Content. - Lu Wang 008; Hema Raghavan; Claire Cardie; Vittorio Castelli (COLING, 2014)

Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems. - Lu Wang 008; Larry P. Heck; Dilek Hakkani-Tür (ICASSP, 2014)

Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon. - Lu Wang 008; Claire Cardie (WASSA@ACL, 2014)

Socially-Informed Timeline Generation for Complex Events. - Lu Wang 008; Claire Cardie; Galen Marchetti (HLT-NAACL, 2015)

Neural Network-Based Abstract Generation for Opinions and Arguments. - Lu Wang 008; Wang Ling (HLT-NAACL, 2016)

Summarizing Decisions in Spoken Meetings. - Lu Wang 008; Claire Cardie (CoRR, 2016)

Summarization and Sentiment Analysis for Understanding Socially-Generated Content. - Lu Wang 008 (2016)

Understanding and Detecting Diverse Supporting Arguments on Controversial Issues. - Xinyu Hua; Lu Wang 008 (ACL (2), 2017)

Joint Modeling of Content and Discourse Relations in Dialogues. - Kechen Qin; Lu Wang 008; Joseph Kim (ACL (1), 2017)

Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction. - Rui Dong; Yizhou Sun; Lu Wang 008; Yupeng Gu; Yuan Zhong (CIKM, 2017)

A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization. - Xinyu Hua; Lu Wang 008 (NFiS@EMNLP, 2017)

Understanding and Detecting Supporting Arguments of Diverse Types. - Xinyu Hua; Lu Wang 008 (CoRR, 2017)

Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes. - Lu Wang 008; Nick Beauchamp; Sarah Shugars; Kechen Qin (Trans. Assoc. Comput. Linguistics, 2017)

Neural Argument Generation Augmented with Externally Retrieved Evidence. - Xinyu Hua; Lu Wang 008 (ACL (1), 2018)

Semi-Supervised Learning for Neural Keyphrase Generation. - Hai Ye; Lu Wang 008 (EMNLP, 2018)

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. - Xingshan Zeng; Jing Li 049; Lu Wang 008; Nicholas Beauchamp; Sarah Shugars; Kam-Fai Wong (NAACL-HLT, 2018)

Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information. - Lisa Fan; Dong Yu; Lu Wang 008 (CoRR, 2018)

Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. - Hou Pong Chan; Wang Chen; Lu Wang 008; Irwin King (ACL (1), 2019)

Argument Generation with Retrieval, Planning, and Realization. - Xinyu Hua; Zhe Hu; Lu Wang 008 (ACL (1), 2019)

BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. - Eva Sharma; Chen Li 037; Lu Wang 008 (ACL (1), 2019)

Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. - Hai Ye; Wenjie Li; Lu Wang 008 (ACL (1), 2019)

Joint Effects of Context and User History for Predicting Online Conversation Re-entries. - Xingshan Zeng; Jing Li 049; Lu Wang 008; Kam-Fai Wong (ACL (1), 2019)

In Plain Sight: Media Bias Through the Lens of Factual Reporting. - Lisa Fan; Marshall White; Eva Sharma; Ruisi Su; Prafulla Kumar Choubey; Ruihong Huang; Lu Wang 008 (EMNLP/IJCNLP (1), 2019)

Sentence-Level Content Planning and Style Specification for Neural Text Generation. - Xinyu Hua; Lu Wang 008 (EMNLP/IJCNLP (1), 2019)

An Entity-Driven Framework for Abstractive Summarization. - Eva Sharma; Luyang Huang; Zhe Hu; Lu Wang 008 (EMNLP/IJCNLP (1), 2019)

Neural Conversation Recommendation with Online Interaction Modeling. - Xingshan Zeng; Jing Li 049; Lu Wang 008; Kam-Fai Wong (EMNLP/IJCNLP (1), 2019)

Argument Mining for Understanding Peer Reviews. - Xinyu Hua; Mitko Nikolov; Nikhil Badugu; Lu Wang 008 (NAACL-HLT (1), 2019)

Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. - Liqiang Xiao; Lu Wang 008; Hao He 007; Yaohui Jin (AAAI, 2020)

Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event. - Prafulla Kumar Choubey; Aaron Lee; Ruihong Huang; Lu Wang 008 (ACL, 2020)

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. - Luyang Huang; Lingfei Wu 001; Lu Wang 008 (ACL, 2020)

Dynamic Online Conversation Recommendation. - Xingshan Zeng; Jing Li 049; Lu Wang 008; Zhiming Mao; Kam-Fai Wong (ACL, 2020)

XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. - Xinyu Hua; Lei Li 005; Lifeng Hua; Lu Wang 008 (AKBC, 2020)

PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. - Xinyu Hua; Lu Wang 008 (EMNLP (1), 2020)

Modeling Content Importance for Summarization with Pre-trained Language Models. - Liqiang Xiao; Lu Wang 008; Hao He 007; Yaohui Jin (EMNLP (1), 2020)

Temporal Logic Point Processes. - Shuang Li 002; Lu Wang 008; Ruizhi Zhang; Xiaofu Chang; Xuqin Liu; Yao Xie 002; Yuan Qi 001; Le Song (ICML, 2020)

DebateVis: Visualizing Political Debates for Non-Expert Users. - Laura South; Michail Schwab; Nick Beauchamp; Lu Wang 008; John Wihbey; Michelle A. Borkin (IEEE VIS (Short Papers), 2020)

Controllable Open-ended Question Generation with A New Question Type Ontology. - Shuyang Cao; Lu Wang 008 (ACL/IJCNLP (1), 2021)

DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. - Xinyu Hua; Ashwin Sreevatsa; Lu Wang 008 (ACL/IJCNLP (1), 2021)

Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment. - Yuhan Shen; Lu Wang 008; Ehsan Elhamifar (CVPR, 2021)

CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. - Shuyang Cao; Lu Wang 008 (EMNLP (1), 2021)

Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. - Shuyang Cao; Lu Wang 008 (NAACL-HLT, 2021)

Inference Time Style Control for Summarization. - Shuyang Cao; Lu Wang 008 (NAACL-HLT, 2021)

Efficient Attentions for Long Document Summarization. - Luyang Huang; Shuyang Cao; Nikolaus Nova Parulian; Heng Ji 001; Lu Wang 008 (NAACL-HLT, 2021)

Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View. - Shuang Li 002; Lu Wang 008; Xinyun Chen; Yixiang Fang; Yan Song 003 (CoRR, 2021)

Controllable Summarization with Constrained Markov Decision Process. - Hou Pong Chan; Lu Wang 008; Irwin King (Trans. Assoc. Comput. Linguistics, 2021)

HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. - Shuyang Cao; Lu Wang 008 (ACL (1), 2022)

Efficient Argument Structure Extraction with Transfer Learning and Active Learning. - Xinyu Hua; Lu Wang 008 (ACL (Findings), 2022)

Time-aware Prompting for Text Generation. - Shuyang Cao; Lu Wang 008 (EMNLP (Findings), 2022)

Sentence-level Media Bias Analysis Informed by Discourse Structures. - Yuanyuan Lei 001; Ruihong Huang; Lu Wang 008; Nick Beauchamp (EMNLP, 2022)

Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. - Joseph Peper; Lu Wang 008 (EMNLP (Findings), 2022)

Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. - Changyuan Qiu; Winston Wu; Xinliang Frederick Zhang; Lu Wang 008 (EMNLP, 2022)

Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. - Xinliang Frederick Zhang; Nick Beauchamp; Lu Wang 008 (EMNLP, 2022)

POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. - Yujian Liu; Xinliang Frederick Zhang; David Wegsman; Nicholas Beauchamp; Lu Wang 008 (NAACL-HLT (Findings), 2022)

Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. - Xu Wang 016; Simin Fan; Jessica Houghton; Lu Wang 008 (NAACL-HLT, 2022)

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2022)

Few-shot Reranking for Multi-hop QA via Language Model Prompting. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (ACL (1), 2023)

BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. - Xin Liu; Muhammad Khalifa; Lu Wang 008 (ACL (2), 2023)

ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions. - Xinyi Lu; Simin Fan; Jessica Houghton; Lu Wang 008; Xu Wang 016 (CHI, 2023)

You Are What You Annotate: Towards Better Models through Annotator Representations. - Naihao Deng; Xinliang Frederick Zhang; Siyang Liu 003; Winston Wu; Lu Wang 008; Rada Mihalcea (EMNLP (Findings), 2023)

GRACE: Discriminator-Guided Chain-of-Thought Reasoning. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (EMNLP (Findings), 2023)

All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. - Yujian Liu; Xinliang Frederick Zhang; Kaijian Zou; Ruihong Huang; Nicholas Beauchamp; Lu Wang 008 (EMNLP, 2023)

Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales. - Winston Wu; Lu Wang 008; Rada Mihalcea (EMNLP, 2023)

Merging Generated and Retrieved Knowledge for Open-Domain QA. - Yunxiang Zhang; Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (EMNLP, 2023)

Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. - Kaijian Zou; Xinliang Frederick Zhang; Winston Wu; Nicholas Beauchamp; Lu Wang 008 (EMNLP (Findings), 2023)

Meta-review Generation with Checklist-guided Iterative Introspection. - Qi Zeng 001; Mankeerat Sidhu; Hou Pong Chan; Lu Wang 008; Heng Ji 001 (CoRR, 2023)

Discriminator-Guided Multi-step Reasoning with Language Models. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2023)

Exploring Demonstration Ensembling for In-context Learning. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2023)

LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths. - Xin Liu; Muhammad Khalifa; Lu Wang 008 (CoRR, 2023)

General then Personal: Decoupling and Pre-training for Personalized Headline Generation. - Yun-Zhu Song; Yi-Syuan Chen; Lu Wang 008; Hong-Han Shuai (Trans. Assoc. Comput. Linguistics, 2023)

Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression. - Farima Fatahi Bayat; Xin Liu; H. V. Jagadish; Lu Wang 008 (ACL (Findings), 2024)

Verifiable Generation with Subsentence-Level Fine-Grained Citations. - Shuyang Cao; Lu Wang 008 (ACL (Findings), 2024)

MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. - Inderjeet Nair; Lu Wang 008 (ACL (1), 2024)

Small Language Models Need Strong Verifiers to Self-Correct Reasoning. - Yunxiang Zhang; Muhammad Khalifa; Lajanugen Logeswaran; Jaekyeom Kim; Moontae Lee; Honglak Lee; Lu Wang 008 (ACL (Findings), 2024)

Analyzing Occupational Distribution Representation in Japanese Language Models. - Katsumi Ibaraki; Winston Wu; Lu Wang 008; Rada Mihalcea (LREC/COLING, 2024)

Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach. - Dongyue Li; Ziniu Zhang; Lu Wang 008; Hongyang Zhang 005 (EMNLP (Findings), 2024)

Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding. - Xin Liu; Farima Fatahi Bayat; Lu Wang 008 (EMNLP, 2024)

Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions. - Inderjeet Nair; Jiaye Tan; Xiaotian Su; Anne Gere; Xu Wang 016; Lu Wang 008 (EMNLP, 2024)

Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction. - Joseph Peper; Wenzhao Qiu; Ryan Bruggeman; Yi Han; Estefania Chehade; Lu Wang 008 (EMNLP (Findings), 2024)

Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. - Xinliang Frederick Zhang; Nicholas Beauchamp; Lu Wang 008 (EMNLP (Findings), 2024)

LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses. - Xin Liu; Muhammad Khalifa; Lu Wang 008 (ICLR, 2024)

Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation. - Qi Zeng 001; Mankeerat Sidhu; Ansel Blume; Hou Pong Chan; Lu Wang 008; Heng Ji 001 (AI4Research/DemocrAI@IJCAI, 2024)

AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. - Shuyang Cao; Lu Wang 008 (NAACL-HLT, 2024)

PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. - Joseph Peper; Wenzhao Qiu; Lu Wang 008 (NAACL-HLT, 2024)

MOKA: Moral Knowledge Augmentation for Moral Event Extraction. - Xinliang Frederick Zhang; Winston Wu; Nicholas Beauchamp; Lu Wang 008 (NAACL-HLT, 2024)

Source-Aware Training Enables Knowledge Attribution in Language Models. - Muhammad Khalifa; David Wadden; Emma Strubell; Honglak Lee; Lu Wang 008; Iz Beltagy; Hao Peng 009 (CoRR, 2024)

LITO: Learnable Intervention for Truthfulness Optimization. - Farima Fatahi Bayat; Xin Liu; H. V. Jagadish; Lu Wang 008 (CoRR, 2024)

Scalable Fine-tuning from Multiple Data Sources:A First-Order Approximation Approach. - Dongyue Li; Ziniu Zhang; Lu Wang 008; Hongyang R. Zhang (CoRR, 2024)

Retrieval or Global Context Understanding? On Many-Shot In-Context Learning for Long-Context Evaluation. - Kaijian Zou; Muhammad Khalifa; Lu Wang 008 (CoRR, 2024)

If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs. - Muhammad Khalifa; Yi Chern Tan; Arash Ahmadian; Tom Hosking; Honglak Lee; Lu Wang 008; Ahmet Üstün; Tom Sherborne; Matthias Gallé (CoRR, 2024)

FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation. - Farima Fatahi Bayat; Lechen Zhang; Sheza Munir; Lu Wang 008 (ACL (1), 2025)

Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets. - Dongyue Li; Ziniu Zhang; Lu Wang 008; Hongyang R. Zhang (ACL (1), 2025)

MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance. - Joseph J. Peper; Wenzhao Qiu; Ali Payani; Lu Wang 008 (ACL (Findings), 2025)

On Many-Shot In-Context Learning for Long-Context Evaluation. - Kaijian Zou; Muhammad Khalifa; Lu Wang 008 (ACL (1), 2025)

Unstructured Evidence Attribution for Long Context Query Focused Summarization. - Dustin Wright 001; Zain Muhammad Mujahid; Lu Wang 008; Isabelle Augenstein; David Jurgens (CoRR, 2025)

MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? - Yunxiang Zhang; Muhammad Khalifa; Shitanshu Bhushan; Grant D. Murphy; Lajanugen Logeswaran; Jaekyeom Kim; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2025)

CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives. - Ayoung Lee; Ryan Sungmo Kwon; Peter Railton; Lu Wang 008 (CoRR, 2025)

Evaluation Framework for AI Systems in "the Wild". - Sarah Jabbour; Trenton Chang; Anindya Das Antar; Joseph Peper; Insu Jang; Jiachen Liu; Jae-Won Chung; Shiqi He; Michael P. Wellman; Bryan Goodman; Elizabeth Bondi-Kelly; Kevin Samy; et al. (CoRR, 2025)

Process Reward Models That Think. - Muhammad Khalifa; Rishabh Agarwal; Lajanugen Logeswaran; Jaekyeom Kim; Hao Peng 009; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2025)

VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts. - Xin Liu; Lechen Zhang; Sheza Munir; Yiyang Gu; Lu Wang 008 (CoRR, 2025)

Evaluating the Retrieval Robustness of Large Language Models. - Shuyang Cao; Karthik Radhakrishnan; David S. Rosenberg; Steven Lu 003; Pengxiang Cheng 001; Lu Wang 008; Shiyue Zhang 001 (CoRR, 2025)

ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists. - Jie Ruan; Inderjeet Nair; Shuyang Cao; Amy Liu; Sheza Munir; Micah Pollens-Dempsey; Tiffany Chiang; Lucy Kates; Nicholas David; Sihan Chen; Ruxin Yang; Yuqian Yang; et al. (CoRR, 2025)

Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response Lengths. - Inderjeet Nair; Lu Wang 008 (CoRR, 2025)

Answer Convergence as a Signal for Early Stopping in Reasoning. - Xin Liu; Lu Wang 008 (CoRR, 2025)

Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework. - Mohna Chakraborty; Lu Wang 008; David Jurgens (CoRR, 2025)

PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes. - Xinliang Frederick Zhang; Nick Beauchamp; Lu Wang 008 (CoRR, 2025)

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training. - Yunxiang Zhang; Muhammad Khalifa; Lechen Zhang; Xin Liu; Ayoung Lee; Xinliang Frederick Zhang; Farima Fatahi Bayat; Lu Wang 008 (CoRR, 2025)