Lu Wang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 130

Top Venues

Publications

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Interpretable Imitation Learning with Dynamic Causal Relations. WSDM (2024)
Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. CoRR (2024)
Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. NAACL-HLT (2024)
Inderjeet Nair, Lu Wang
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. CoRR (2024)
Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR (2024)
Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng
Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR (2024)
Shuyang Cao, Lu Wang
Verifiable Generation with Subsentence-Level Fine-Grained Citations. ACL (Findings) (2024)
Dapeng Li, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Qi Zhang, Zhiwei Xu, Bin Zhang, Guoliang Fan
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning. CoRR (2024)
Xin Liu, Farima Fatahi Bayat, Lu Wang
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding. CoRR (2024)
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. ACL (Findings) (2024)
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. AAAI (2024)
Xin Liu, Muhammad Khalifa, Lu Wang
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses. ICLR (2024)
Joseph Peper, Wenzhao Qiu, Lu Wang
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. NAACL-HLT (2024)
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
Small Language Models Need Strong Verifiers to Self-Correct Reasoning. CoRR (2024)
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
Small Language Models Need Strong Verifiers to Self-Correct Reasoning. ACL (Findings) (2024)
Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong
SELF-GUARD: Empower the LLM to Safeguard Itself. NAACL-HLT (2024)
Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang
LITO: Learnable Intervention for Truthfulness Optimization. CoRR (2024)
Inderjeet Nair, Lu Wang
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. ACL (1) (2024)
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. CoRR (2024)
Shuyang Cao, Lu Wang
Verifiable Generation with Subsentence-Level Fine-Grained Citations. CoRR (2024)
Shuyang Cao, Lu Wang
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. NAACL-HLT (2024)
Katsumi Ibaraki, Winston Wu, Lu Wang, Rada Mihalcea
Analyzing Occupational Distribution Representation in Japanese Language Models. LREC/COLING (2024)
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. CoRR (2024)
Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression. ACL (Findings) (2024)
Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. CoRR (2024)
Shuyang Cao, Lu Wang
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. CoRR (2023)
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Merging Generated and Retrieved Knowledge for Open-Domain QA. CoRR (2023)
Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. CoRR (2023)
Winston Wu, Lu Wang, Rada Mihalcea
Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales. EMNLP (2023)
Naihao Deng, Xinliang Frederick Zhang, Siyang Liu, Winston Wu, Lu Wang, Rada Mihalcea
You Are What You Annotate: Towards Better Models through Annotator Representations. EMNLP (Findings) (2023)
Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. CoRR (2023)
Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. EMNLP (Findings) (2023)
Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong
Self-Guard: Empower the LLM to Safeguard Itself. CoRR (2023)
Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nick Beauchamp, Lu Wang
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. CoRR (2023)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Few-shot Reranking for Multi-hop QA via Language Model Prompting. ACL (1) (2023)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
GRACE: Discriminator-Guided Chain-of-Thought Reasoning. EMNLP (Findings) (2023)
Xinyi Lu, Simin Fan, Jessica Houghton, Lu Wang, Xu Wang
ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions. CHI (2023)
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Merging Generated and Retrieved Knowledge for Open-Domain QA. EMNLP (2023)
Xin Liu, Muhammad Khalifa, Lu Wang
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. ACL (2) (2023)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Exploring Demonstration Ensembling for In-context Learning. CoRR (2023)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Discriminator-Guided Multi-step Reasoning with Language Models. CoRR (2023)
Xinyu Hua, Lu Wang
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. CoRR (2022)
Shuyang Cao, Lu Wang
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. CoRR (2022)
Yuanyuan Lei, Ruihong Huang, Lu Wang, Nick Beauchamp
Sentence-level Media Bias Analysis Informed by Discourse Structures. EMNLP (2022)
Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, Lu Wang
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. CoRR (2022)
Xu Wang, Simin Fan, Jessica Houghton, Lu Wang
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. CoRR (2022)
Xinyu Hua, Lu Wang
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. ACL (Findings) (2022)
Shuyang Cao, Lu Wang
Time-aware Prompting for Text Generation. CoRR (2022)
Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. EMNLP (2022)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. CoRR (2022)
Joseph J. Peper, Lu Wang
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. CoRR (2022)
Joseph Peper, Lu Wang
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. EMNLP (Findings) (2022)
Shuyang Cao, Lu Wang
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. ACL (1) (2022)
Xu Wang, Simin Fan, Jessica Houghton, Lu Wang
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. NAACL-HLT (2022)
Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. CoRR (2022)
Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. CoRR (2022)
Shuyang Cao, Lu Wang
Time-aware Prompting for Text Generation. EMNLP (Findings) (2022)
Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, Lu Wang
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. NAACL-HLT (Findings) (2022)
Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. EMNLP (2022)
Shuyang Cao, Lu Wang
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. NAACL-HLT (2021)
Shuyang Cao, Lu Wang
Inference Time Style Control for Summarization. CoRR (2021)
Shuyang Cao, Lu Wang
Inference Time Style Control for Summarization. NAACL-HLT (2021)
Shuyang Cao, Lu Wang
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. CoRR (2021)
Shuyang Cao, Lu Wang
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. EMNLP (1) (2021)
Yuhan Shen, Lu Wang, Ehsan Elhamifar
Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment. CVPR (2021)
Shuyang Cao, Lu Wang
Controllable Open-ended Question Generation with A New Question Type Ontology. CoRR (2021)
Hou Pong Chan, Lu Wang, Irwin King
Controllable Summarization with Constrained Markov Decision Process. Trans. Assoc. Comput. Linguistics 9 (2021)
Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang
Efficient Attentions for Long Document Summarization. NAACL-HLT (2021)
Shuyang Cao, Lu Wang
Controllable Open-ended Question Generation with A New Question Type Ontology. ACL/IJCNLP (1) (2021)
Shuyang Cao, Lu Wang
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. CoRR (2021)
Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang
Efficient Attentions for Long Document Summarization. CoRR (2021)
Hou Pong Chan, Lu Wang, Irwin King
Controllable Summarization with Constrained Markov Decision Process. CoRR (2021)
Xinyu Hua, Ashwin Sreevatsa, Lu Wang
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. CoRR (2021)
Xinyu Hua, Ashwin Sreevatsa, Lu Wang
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. ACL/IJCNLP (1) (2021)
Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong
Dynamic Online Conversation Recommendation. ACL (2020)
Luyang Huang, Lingfei Wu, Lu Wang
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. CoRR (2020)
Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang
XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. AKBC (2020)
Xinyu Hua, Lu Wang
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. EMNLP (1) (2020)
Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang
XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. CoRR (2020)
Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin
Modeling Content Importance for Summarization with Pre-trained Language Models. EMNLP (1) (2020)
Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin
Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. AAAI (2020)
Luyang Huang, Lingfei Wu, Lu Wang
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. ACL (2020)
Laura South, Michail Schwab, Nick Beauchamp, Lu Wang, John Wihbey, Michelle A. Borkin
DebateVis: Visualizing Political Debates for Non-Expert Users. IEEE VIS (Short Papers) (2020)
Prafulla Kumar Choubey, Aaron Lee, Ruihong Huang, Lu Wang
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event. ACL (2020)
Xinyu Hua, Lu Wang
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. CoRR (2020)
Xinyu Hua, Zhe Hu, Lu Wang
Argument Generation with Retrieval, Planning, and Realization. CoRR (2019)
Xinyu Hua, Zhe Hu, Lu Wang
Argument Generation with Retrieval, Planning, and Realization. ACL (1) (2019)
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong
Joint Effects of Context and User History for Predicting Online Conversation Re-entries. ACL (1) (2019)
Hou Pong Chan, Wang Chen, Lu Wang, Irwin King
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. CoRR (2019)
Eva Sharma, Chen Li, Lu Wang
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. ACL (1) (2019)
Hou Pong Chan, Wang Chen, Lu Wang, Irwin King
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. ACL (1) (2019)
Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang
An Entity-Driven Framework for Abstractive Summarization. EMNLP/IJCNLP (1) (2019)
Eva Sharma, Chen Li, Lu Wang
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. CoRR (2019)
Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, Lu Wang
In Plain Sight: Media Bias Through the Lens of Factual Reporting. CoRR (2019)
Xinyu Hua, Lu Wang
Sentence-Level Content Planning and Style Specification for Neural Text Generation. EMNLP/IJCNLP (1) (2019)
Hai Ye, Wenjie Li, Lu Wang
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. CoRR (2019)
Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang
An Entity-Driven Framework for Abstractive Summarization. CoRR (2019)
Hai Ye, Wenjie Li, Lu Wang
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. ACL (1) (2019)
Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang
Argument Mining for Understanding Peer Reviews. CoRR (2019)
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong
Joint Effects of Context and User History for Predicting Online Conversation Re-entries. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lu Wang