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ORCIDLu Wang 0008
王璐
Person information
- affiliation: University of Michigan, Computer Science and Engineering, Ann Arbor, MI, USA
- affiliation (former): Northeastern University, College of Computer Sciences, Boston, MA, USA
- affiliation (PhD 2015): Cornell University, Department of Computer Science, Ithaca, NY, USA
- unicode name: 王璐
Other persons with the same name
- Lu Wang — disambiguation page
- Lu Wang 0001
![[0000-0003-2669-3522]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2669-3522")
— Northeastern University, College of Information Science and Engineering, Shenyang, China (and 2 more) - Lu Wang 0002 — Shenzhen University, College of Computer Science and Software Engineering, China (and 2 more)
- Lu Wang 0003 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 2 more)
- Lu Wang 0004 — University of Houston, TX, USA (and 3 more)
- Lu Wang 0005 — University of Southampton, Faculty of Engineering and the Environment, UK
- Lu Wang 0006 — KTH Royal Institute of Technology, Centre for Autonomous Systems and the Computer Vision and Active Perception Lab, Stockholm, Sweden
- Lu Wang 0007 — Shandong University, Department of Computer Science, China
- Lu Wang 0009 — Anhui University of Technology, Department of Mechanical Engineering, Ma'anshan, China
- Lu Wang 0010 — Harbin Engineering University, Harbin, China (and 1 more)
- Lu Wang 0011 — Arizona State University, Tempe, USA
- Lu Wang 0012 — University of Rennes 1, LTSI, France (and 2 more)
- Lu Wang 0013 — University of Southern California, Department of Computer Science, Los Angeles, CA, USA
- Lu Wang 0014 — Xidian University, Software Engineering Institute, Xi'an, China
- Lu Wang 0015 — Central South University, Department of Statistics, Changsha, China (and 1 more)
- Lu Wang 0016 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China
- Lu Wang 0017 — Southwest Jiaotong University, College of Mathematics, Chengdu, China
- Lu Wang 0018 — University of International Business and Economics, Research Institute for Shenzhen, China (and 2 more)
- Lu Wang 0019 — Ghent University, Department of Electronics and Information Systems, Belgium (and 1 more)
- Lu Wang 0020 — Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Lu Wang 0021 — Wuhan University, School of Resource and Environment Sciences, China
- Lu Wang 0022 — University of Sheffield, Department of Electronic and Electrical Engineering, UK
- Lu Wang 0023 — Zhejiang University of Finance and Economics, School of Information Management and Artificial Intelligence, Hangzhou, China
- Lu Wang 0024 — Qinghai University, State Key Laboratory of Plateau Ecology and Agriculture, Xining, China
- Lu Wang 0025 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Lu Wang 0026 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Lu Wang 0027 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China
- Lu Wang 0028 — Delft University of Technology, TU Delft, Department of Electrical Sustainable Energy, DCE&S group, Netherlands
- Lu Wang 0029 — Microsoft, Beijing, China (and 1 more)
- Lu Wang 0030 — Florida State University, Department of Electrical and Computer Engineering, Center for Advanced Power Systems, Tallahassee, FL, USA
- Lu Wang 0031 — JD.com, Beijing, China (and 1 more)
- Lu Wang 0032 — University of Trier, Computational Linguistics and Digital Humanities, Trier, Germany
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2020 – today
- 2024
[c76]Inderjeet Nair, Lu Wang:
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. ACL (1) 2024: 7047-7065- [c75]Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang:
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression. ACL (Findings) 2024: 12388-12400 - [c74]Shuyang Cao, Lu Wang:
Verifiable Generation with Subsentence-Level Fine-Grained Citations. ACL (Findings) 2024: 15584-15596 - [c73]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: 15637-15653 - [c72]Katsumi Ibaraki, Winston Wu, Lu Wang, Rada Mihalcea:
Analyzing Occupational Distribution Representation in Japanese Language Models. LREC/COLING 2024: 959-973 - [c71]Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang Zhang:
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach. EMNLP (Findings) 2024: 5608-5623 - [c70]Xin Liu, Farima Fatahi Bayat, Lu Wang:
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding. EMNLP 2024: 10436-10448 - [c69]Joseph Peper, Wenzhao Qiu, Ryan Bruggeman, Yi Han, Estefania Chehade, Lu Wang:
Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction. EMNLP (Findings) 2024: 15477-15490 - [c68]Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang:
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. EMNLP (Findings) 2024: 16507-16530 - [c67]Inderjeet Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang:
Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions. EMNLP 2024: 16636-16657 - [c66]Xin Liu, Muhammad Khalifa, Lu Wang:
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses. ICLR 2024 - [c65]Qi Zeng, Mankeerat Sidhu, Ansel Blume, Hou Pong Chan, Lu Wang, Heng Ji:
Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation. AI4Research/DemocrAI@IJCAI 2024: 20-38 - [c64]Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang:
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. NAACL-HLT 2024: 4481-4502 - [c63]Shuyang Cao, Lu Wang:
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. NAACL-HLT 2024: 5925-5941 - [c62]Joseph Peper, Wenzhao Qiu, Lu Wang:
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. NAACL-HLT 2024: 7652-7674 - [i70]Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng:
Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR abs/2404.01019 (2024) - [i69]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 abs/2404.17140 (2024) - [i68]Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang:
LITO: Learnable Intervention for Truthfulness Optimization. CoRR abs/2405.00301 (2024) - [i67]Inderjeet Nair, Lu Wang:
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. CoRR abs/2405.05189 (2024) - [i66]Shuyang Cao, Lu Wang:
Verifiable Generation with Subsentence-Level Fine-Grained Citations. CoRR abs/2406.06125 (2024) - [i65]Xin Liu, Farima Fatahi Bayat, Lu Wang:
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding. CoRR abs/2406.13230 (2024) - [i64]Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang:
Scalable Fine-tuning from Multiple Data Sources:A First-Order Approximation Approach. CoRR abs/2409.19458 (2024) - [i63]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. CoRR abs/2410.05558 (2024) - [i62]Inderjeet Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang:
Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions. CoRR abs/2410.08058 (2024) - [i61]Farima Fatahi Bayat, Lechen Zhang, Sheza Munir, Lu Wang:
FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation. CoRR abs/2410.22257 (2024) - [i60]Kaijian Zou, Muhammad Khalifa, Lu Wang:
Retrieval or Global Context Understanding? On Many-Shot In-Context Learning for Long-Context Evaluation. CoRR abs/2411.07130 (2024) - [i59]Muhammad Khalifa, Yi Chern Tan, Arash Ahmadian, Tom Hosking, Honglak Lee, Lu Wang, Ahmet Üstün, Tom Sherborne, Matthias Gallé:
If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs. CoRR abs/2412.04144 (2024) - 2023
- [j3]Yun-Zhu Song, Yi-Syuan Chen, Lu Wang, Hong-Han Shuai:
General then Personal: Decoupling and Pre-training for Personalized Headline Generation. Trans. Assoc. Comput. Linguistics 11: 1588-1607 (2023) - [c61]Xin Liu, Muhammad Khalifa, Lu Wang:
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. ACL (2) 2023: 186-200 - [c60]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Few-shot Reranking for Multi-hop QA via Language Model Prompting. ACL (1) 2023: 15882-15897 - [c59]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: 454:1-454:18 - [c58]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: 621-632 - [c57]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Merging Generated and Retrieved Knowledge for Open-Domain QA. EMNLP 2023: 4710-4728 - [c56]Winston Wu, Lu Wang, Rada Mihalcea:
Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales. EMNLP 2023: 5113-5125 - [c55]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: 12475-12498 - [c54]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
GRACE: Discriminator-Guided Chain-of-Thought Reasoning. EMNLP (Findings) 2023: 15299-15328 - [c53]Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang:
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. EMNLP 2023: 15472-15488 - [i58]Xin Liu, Muhammad Khalifa, Lu Wang:
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. CoRR abs/2305.12018 (2023) - [i57]Qi Zeng, Mankeerat Sidhu, Hou Pong Chan, Lu Wang, Heng Ji:
Meta-review Generation with Checklist-guided Iterative Introspection. CoRR abs/2305.14647 (2023) - [i56]Naihao Deng, Siyang Liu, Xinliang Frederick Zhang, Winston Wu, Lu Wang, Rada Mihalcea:
You Are What You Annotate: Towards Better Models through Annotator Representations. CoRR abs/2305.14663 (2023) - [i55]Shuyang Cao, Lu Wang:
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. CoRR abs/2305.14806 (2023) - [i54]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Discriminator-Guided Multi-step Reasoning with Language Models. CoRR abs/2305.14934 (2023) - [i53]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Exploring Demonstration Ensembling for In-context Learning. CoRR abs/2308.08780 (2023) - [i52]Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Merging Generated and Retrieved Knowledge for Open-Domain QA. CoRR abs/2310.14393 (2023) - [i51]Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang:
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. CoRR abs/2310.18768 (2023) - [i50]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 abs/2310.18827 (2023) - [i49]Xin Liu, Muhammad Khalifa, Lu Wang:
LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths. CoRR abs/2310.19208 (2023) - [i48]Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang:
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. CoRR abs/2311.09733 (2023) - [i47]Joseph J. Peper, Wenzhao Qiu, Lu Wang:
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. CoRR abs/2311.09836 (2023) - 2022
- [c52]Xinyu Hua, Lu Wang:
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. ACL (Findings) 2022: 423-437 - [c51]Shuyang Cao, Lu Wang:
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. ACL (1) 2022: 786-807 - [c50]Joseph Peper, Lu Wang:
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. EMNLP (Findings) 2022: 6089-6095 - [c49]Shuyang Cao, Lu Wang:
Time-aware Prompting for Text Generation. EMNLP (Findings) 2022: 7231-7246 - [c48]Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang:
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. EMNLP 2022: 9720-9736 - [c47]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. EMNLP 2022: 9950-9969 - [c46]Yuanyuan Lei, Ruihong Huang, Lu Wang, Nick Beauchamp:
Sentence-level Media Bias Analysis Informed by Discourse Structures. EMNLP 2022: 10040-10050 - [c45]Xu Wang, Simin Fan, Jessica Houghton, Lu Wang:
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. NAACL-HLT 2022: 291-302 - [c44]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: 1354-1374 - [i46]Shuyang Cao, Lu Wang:
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. CoRR abs/2203.10741 (2022) - [i45]Xinyu Hua, Lu Wang:
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. CoRR abs/2204.00707 (2022) - [i44]Xu Wang, Simin Fan, Jessica Houghton, Lu Wang:
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. CoRR abs/2205.00355 (2022) - [i43]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 abs/2205.00619 (2022) - [i42]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. CoRR abs/2205.12650 (2022) - [i41]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. CoRR abs/2211.01467 (2022) - [i40]Shuyang Cao, Lu Wang:
Time-aware Prompting for Text Generation. CoRR abs/2211.02162 (2022) - [i39]Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang:
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. CoRR abs/2211.02269 (2022) - [i38]Joseph J. Peper, Lu Wang:
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. CoRR abs/2211.07743 (2022) - 2021
- [j2]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. Trans. Assoc. Comput. Linguistics 9: 1213-1232 (2021) - [c43]Xinyu Hua, Ashwin Sreevatsa, Lu Wang:
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. ACL/IJCNLP (1) 2021: 6408-6423 - [c42]Shuyang Cao, Lu Wang:
Controllable Open-ended Question Generation with A New Question Type Ontology. ACL/IJCNLP (1) 2021: 6424-6439 - [c41]Yuhan Shen, Lu Wang, Ehsan Elhamifar:
Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment. CVPR 2021: 10156-10165 - [c40]Shuyang Cao, Lu Wang:
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. EMNLP (1) 2021: 6633-6649 - [c39]Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. NAACL-HLT 2021: 1419-1436 - [c38]Shuyang Cao, Lu Wang:
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. NAACL-HLT 2021: 5008-5016 - [c37]Shuyang Cao, Lu Wang:
Inference Time Style Control for Summarization. NAACL-HLT 2021: 5942-5953 - [e3]Lu Wang, Yansong Feng, Yu Hong, Ruifang He:
Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13028, Springer 2021, ISBN 978-3-030-88479-6 [contents] - [e2]Lu Wang, Yansong Feng, Yu Hong, Ruifang He:
Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13029, Springer 2021, ISBN 978-3-030-88482-6 [contents] - [i37]Shuyang Cao, Lu Wang:
Inference Time Style Control for Summarization. CoRR abs/2104.01724 (2021) - [i36]Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. CoRR abs/2104.02112 (2021) - [i35]Shuyang Cao, Lu Wang:
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. CoRR abs/2104.02205 (2021) - [i34]Xinyu Hua, Ashwin Sreevatsa, Lu Wang:
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. CoRR abs/2106.00791 (2021) - [i33]Shuang Li, Lu Wang, Xinyun Chen, Yixiang Fang, Yan Song:
Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View. CoRR abs/2106.13097 (2021) - [i32]Shuyang Cao, Lu Wang:
Controllable Open-ended Question Generation with A New Question Type Ontology. CoRR abs/2107.00152 (2021) - [i31]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. CoRR abs/2108.03405 (2021) - [i30]Shuyang Cao, Lu Wang:
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. CoRR abs/2109.09209 (2021) - 2020
- [c36]Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin:
Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. AAAI 2020: 9306-9313 - [c35]Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong:
Dynamic Online Conversation Recommendation. ACL 2020: 3331-3341 - [c34]Luyang Huang, Lingfei Wu, Lu Wang:
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. ACL 2020: 5094-5107 - [c33]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: 5374-5386 - [c32]Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang:
XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. AKBC 2020 - [c31]Xinyu Hua, Lu Wang:
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. EMNLP (1) 2020: 781-793 - [c30]Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin:
Modeling Content Importance for Summarization with Pre-trained Language Models. EMNLP (1) 2020: 3606-3611 - [c29]Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song:
Temporal Logic Point Processes. ICML 2020: 5990-6000 - [c28]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: 241-245 - [i29]Luyang Huang, Lingfei Wu, Lu Wang:
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. CoRR abs/2005.01159 (2020) - [i28]Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang:
XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. CoRR abs/2006.14017 (2020) - [i27]Xinyu Hua, Lu Wang:
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. CoRR abs/2010.02301 (2020)
2010 – 2019
- 2019
- [c27]Hai Ye, Wenjie Li, Lu Wang:
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. ACL (1) 2019: 2090-2101 - [c26]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. ACL (1) 2019: 2163-2174 - [c25]Eva Sharma, Chen Li, Lu Wang:
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. ACL (1) 2019: 2204-2213 - [c24]Xinyu Hua, Zhe Hu, Lu Wang:
Argument Generation with Retrieval, Planning, and Realization. ACL (1) 2019: 2661-2672 - [c23]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: 2809-2818 - [c22]Xinyu Hua, Lu Wang:
Sentence-Level Content Planning and Style Specification for Neural Text Generation. EMNLP/IJCNLP (1) 2019: 591-602 - [c21]Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang:
An Entity-Driven Framework for Abstractive Summarization. EMNLP/IJCNLP (1) 2019: 3278-3289 - [c20]Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong:
Neural Conversation Recommendation with Online Interaction Modeling. EMNLP/IJCNLP (1) 2019: 4632-4642 - [c19]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. EMNLP/IJCNLP (1) 2019: 6342-6348 - [c18]Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang:
Argument Mining for Understanding Peer Reviews. NAACL-HLT (1) 2019: 2131-2137 - [i26]Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang:
Argument Mining for Understanding Peer Reviews. CoRR abs/1903.10104 (2019) - [i25]Hai Ye, Wenjie Li, Lu Wang:
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. CoRR abs/1906.00575 (2019) - [i24]Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong:
Joint Effects of Context and User History for Predicting Online Conversation Re-entries. CoRR abs/1906.01185 (2019) - [i23]Xinyu Hua, Zhe Hu, Lu Wang:
Argument Generation with Retrieval, Planning, and Realization. CoRR abs/1906.03717 (2019) - [i22]Eva Sharma, Chen Li, Lu Wang:
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. CoRR abs/1906.03741 (2019) - [i21]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. CoRR abs/1906.04106 (2019) - [i20]Xinyu Hua, Lu Wang:
Sentence-Level Content Planning and Style Specification for Neural Text Generation. CoRR abs/1909.00734 (2019) - [i19]Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang:
An Entity-Driven Framework for Abstractive Summarization. CoRR abs/1909.02059 (2019) - [i18]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 abs/1909.02670 (2019) - 2018
- [c17]Xinyu Hua, Lu Wang:
Neural Argument Generation Augmented with Externally Retrieved Evidence. ACL (1) 2018: 219-230 - [c16]Hai Ye, Lu Wang:
Semi-Supervised Learning for Neural Keyphrase Generation. EMNLP 2018: 4142-4153 - [c15]Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong:
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. NAACL-HLT 2018: 375-385 - [i17]Xinyu Hua, Lu Wang:
Neural Argument Generation Augmented with Externally Retrieved Evidence. CoRR abs/1805.10254 (2018) - [i16]Hai Ye, Lu Wang:
Semi-Supervised Learning for Neural Keyphrase Generation. CoRR abs/1808.06773 (2018) - [i15]Lisa Fan, Dong Yu, Lu Wang:
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information. CoRR abs/1810.06065 (2018) - 2017
- [j1]Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin:
Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes. Trans. Assoc. Comput. Linguistics 5: 219-232 (2017) - [c14]Xinyu Hua, Lu Wang:
Understanding and Detecting Diverse Supporting Arguments on Controversial Issues. ACL (2) 2017: 203-208 - [c13]Kechen Qin, Lu Wang, Joseph Kim:
Joint Modeling of Content and Discourse Relations in Dialogues. ACL (1) 2017: 974-984 - [c12]Rui Dong, Yizhou Sun, Lu Wang, Yupeng Gu, Yuan Zhong:
Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction. CIKM 2017: 1249-1258 - [c11]Xinyu Hua, Lu Wang:
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization. NFiS@EMNLP 2017: 100-106 - [e1]Lu Wang, Jackie Chi Kit Cheung, Giuseppe Carenini, Fei Liu:
Proceedings of the Workshop on New Frontiers in Summarization, NFiS@EMNLP 2017, Copenhagen, Denmark, September 7, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-89-0 [contents] - [i14]Xinyu Hua, Lu Wang:
Understanding and Detecting Supporting Arguments of Diverse Types. CoRR abs/1705.00045 (2017) - [i13]Kechen Qin, Lu Wang, Joseph Kim:
Joint Modeling of Content and Discourse Relations in Dialogues. CoRR abs/1705.05039 (2017) - [i12]Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin:
Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes. CoRR abs/1705.05040 (2017) - [i11]Xinyu Hua, Lu Wang:
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization. CoRR abs/1707.07062 (2017) - 2016
- [b1]Lu Wang:
Summarization and Sentiment Analysis for Understanding Socially-Generated Content. Cornell University, USA, 2016 - [c10]Lu Wang, Wang Ling:
Neural Network-Based Abstract Generation for Opinions and Arguments. HLT-NAACL 2016: 47-57 - [i10]Lu Wang, Wang Ling:
Neural Network-Based Abstract Generation for Opinions and Arguments. CoRR abs/1606.02785 (2016) - [i9]Lu Wang, Claire Cardie, Galen Marchetti:
Socially-Informed Timeline Generation for Complex Events. CoRR abs/1606.05699 (2016) - [i8]Lu Wang, Hema Raghavan, Claire Cardie, Vittorio Castelli:
Query-Focused Opinion Summarization for User-Generated Content. CoRR abs/1606.05702 (2016) - [i7]Lu Wang, Claire Cardie:
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection. CoRR abs/1606.05704 (2016) - [i6]Lu Wang, Claire Cardie:
Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon. CoRR abs/1606.05706 (2016) - [i5]Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, Claire Cardie:
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization. CoRR abs/1606.07548 (2016) - [i4]Lu Wang, Claire Cardie:
Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings. CoRR abs/1606.07829 (2016) - [i3]Lu Wang, Claire Cardie:
Focused Meeting Summarization via Unsupervised Relation Extraction. CoRR abs/1606.07849 (2016) - [i2]Lu Wang, Claire Cardie:
Summarizing Decisions in Spoken Meetings. CoRR abs/1606.07965 (2016) - [i1]Lu Wang, Larry P. Heck, Dilek Hakkani-Tür:
Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems. CoRR abs/1606.07967 (2016) - 2015
- [c9]Lu Wang, Claire Cardie, Galen Marchetti:
Socially-Informed Timeline Generation for Complex Events. HLT-NAACL 2015: 1055-1065 - 2014
- [c8]Lu Wang, Claire Cardie:
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection. ACL (2) 2014: 693-699 - [c7]Lu Wang, Hema Raghavan, Claire Cardie, Vittorio Castelli:
Query-Focused Opinion Summarization for User-Generated Content. COLING 2014: 1660-1669 - [c6]Lu Wang, Larry P. Heck, Dilek Hakkani-Tür:
Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems. ICASSP 2014: 4082-4086 - [c5]Lu Wang, Claire Cardie:
Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon. WASSA@ACL 2014: 97-106 - 2013
- [c4]Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, Claire Cardie:
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization. ACL (1) 2013: 1384-1394 - [c3]Lu Wang, Claire Cardie:
Domain-Independent Abstract Generation for Focused Meeting Summarization. ACL (1) 2013: 1395-1405 - 2012
- [c2]Lu Wang, Claire Cardie:
Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings. SIGDIAL Conference 2012: 40-49 - [c1]Lu Wang, Claire Cardie:
Focused Meeting Summarization via Unsupervised Relation Extraction. SIGDIAL Conference 2012: 304-313
Coauthor Index
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