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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 (former): 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.dagstuhl.de/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, 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
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2020 – today
- 2024
[c103]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: 21099-21106- [c102]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: 1638-1662 - [c101]Inderjeet Nair, Lu Wang:
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. ACL (1) 2024: 7047-7065 - [c100]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 - [c99]Shuyang Cao, Lu Wang:
Verifiable Generation with Subsentence-Level Fine-Grained Citations. ACL (Findings) 2024: 15584-15596 - [c98]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 - [c97]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. CIKM 2024: 4939-4947 - [c96]Katsumi Ibaraki, Winston Wu, Lu Wang, Rada Mihalcea:
Analyzing Occupational Distribution Representation in Japanese Language Models. LREC/COLING 2024: 959-973 - [c95]Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. ECAI 2024: 4471-4474 - [c94]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. EMNLP (Findings) 2024: 3875-3891 - [c93]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 - [c92]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 - [c91]Xin Liu, Muhammad Khalifa, Lu Wang:
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses. ICLR 2024 - [c90]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: 1648-1668 - [c89]Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang:
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. NAACL-HLT 2024: 4481-4502 - [c88]Shuyang Cao, Lu Wang:
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. NAACL-HLT 2024: 5925-5941 - [c87]Joseph Peper, Wenzhao Qiu, Lu Wang:
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. NAACL-HLT 2024: 7652-7674 - [c86]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: 967-975 - [i95]Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR abs/2401.07033 (2024) - [i94]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR abs/2401.07051 (2024) - [i93]Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Contrastive Learning with Negative Sampling Correction. CoRR abs/2401.08690 (2024) - [i92]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 abs/2402.17531 (2024) - [i91]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) - [i90]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) - [i89]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 abs/2404.17780 (2024) - [i88]Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang:
LITO: Learnable Intervention for Truthfulness Optimization. CoRR abs/2405.00301 (2024) - [i87]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 abs/2405.01677 (2024) - [i86]Inderjeet Nair, Lu Wang:
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. CoRR abs/2405.05189 (2024) - [i85]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 abs/2405.16390 (2024) - [i84]Shuyang Cao, Lu Wang:
Verifiable Generation with Subsentence-Level Fine-Grained Citations. CoRR abs/2406.06125 (2024) - [i83]Xin Liu, Farima Fatahi Bayat, Lu Wang:
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding. CoRR abs/2406.13230 (2024) - [i82]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 abs/2406.13372 (2024) - [i81]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 abs/2406.19251 (2024) - [i80]Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. CoRR abs/2409.17140 (2024) - [i79]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) - [i78]Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Self-Evolved Reward Learning for LLMs. CoRR abs/2411.00418 (2024) - [i77]Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao, Chenghua Huang, Jianfeng Liu, Bochen Pang, Yaming Yang, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang:
Token-level Proximal Policy Optimization for Query Generation. CoRR abs/2411.00722 (2024) - 2023
- [c85]Xin Liu, Muhammad Khalifa, Lu Wang:
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. ACL (2) 2023: 186-200 - [c84]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 - [c83]Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. ASPLOS (3) 2023: 631-643 - [c82]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 - [c81]Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. EMNLP (Industry Track) 2023: 294-312 - [c80]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 - [c79]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 - [c78]Winston Wu, Lu Wang, Rada Mihalcea:
Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales. EMNLP 2023: 5113-5125 - [c77]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 - [c76]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
GRACE: Discriminator-Guided Chain-of-Thought Reasoning. EMNLP (Findings) 2023: 15299-15328 - [c75]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 - [c74]Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen:
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD 2023: 1010-1019 - [c73]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD 2023: 3513-3524 - [c72]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD 2023: 3663-3673 - [c71]Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. KDD 2023: 5116-5125 - [c70]Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin, Dongmei Zhang:
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets. KDD 2023: 5372-5381 - [c69]Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Saravanakumar Rajmohan, Thomas Moscibroda, Dongmei Zhang:
Conservative State Value Estimation for Offline Reinforcement Learning. NeurIPS 2023 - [c68]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. ESEC/SIGSOFT FSE 2023: 1762-1773 - [c67]Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE 2023: 2050-2055 - [c66]Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda:
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. WWW (Companion Volume) 2023: 391-395 - [c65]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW 2023: 2927-2936 - [i76]Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Dongmei Zhang:
Conservative State Value Estimation for Offline Reinforcement Learning. CoRR abs/2302.06884 (2023) - [i75]Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. CoRR abs/2305.11541 (2023) - [i74]Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Introspective Tips: Large Language Model for In-Context Decision Making. CoRR abs/2305.11598 (2023) - [i73]Xin Liu, Muhammad Khalifa, Lu Wang:
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. CoRR abs/2305.12018 (2023) - [i72]Qi Zeng, Mankeerat Sidhu, Hou Pong Chan, Lu Wang, Heng Ji:
Meta-review Generation with Checklist-guided Iterative Introspection. CoRR abs/2305.14647 (2023) - [i71]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) - [i70]Shuyang Cao, Lu Wang:
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. CoRR abs/2305.14806 (2023) - [i69]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Discriminator-Guided Multi-step Reasoning with Language Models. CoRR abs/2305.14934 (2023) - [i68]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR abs/2306.07919 (2023) - [i67]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR abs/2308.00279 (2023) - [i66]Chao Yang, Lu Wang, Kun Gao, Shuang Li:
Reinforcement Logic Rule Learning for Temporal Point Processes. CoRR abs/2308.06094 (2023) - [i65]Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang:
Exploring Demonstration Ensembling for In-context Learning. CoRR abs/2308.08780 (2023) - [i64]Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Lu Wang, Ruoxi Jia, Ming Jin:
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. CoRR abs/2308.10379 (2023) - [i63]Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR abs/2309.02564 (2023) - [i62]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR abs/2310.00489 (2023) - [i61]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) - [i60]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 abs/2310.15851 (2023) - [i59]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. CoRR abs/2310.18740 (2023) - [i58]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) - [i57]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) - [i56]Xin Liu, Muhammad Khalifa, Lu Wang:
LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths. CoRR abs/2310.19208 (2023) - [i55]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. CoRR abs/2311.04254 (2023) - [i54]Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang:
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. CoRR abs/2311.09733 (2023) - [i53]Joseph J. Peper, Wenzhao Qiu, Lu Wang:
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. CoRR abs/2311.09836 (2023) - [i52]Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
TaskWeaver: A Code-First Agent Framework. CoRR abs/2311.17541 (2023) - 2022
- [j5]Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo:
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5361-5373 (2022) - [c64]Xinyu Hua, Lu Wang:
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. ACL (Findings) 2022: 423-437 - [c63]Shuyang Cao, Lu Wang:
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. ACL (1) 2022: 786-807 - [c62]Joseph Peper, Lu Wang:
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. EMNLP (Findings) 2022: 6089-6095 - [c61]Shuyang Cao, Lu Wang:
Time-aware Prompting for Text Generation. EMNLP (Findings) 2022: 7231-7246 - [c60]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 - [c59]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. EMNLP 2022: 9950-9969 - [c58]Yuanyuan Lei, Ruihong Huang, Lu Wang, Nick Beauchamp:
Sentence-level Media Bias Analysis Informed by Discourse Structures. EMNLP 2022: 10040-10050 - [c57]Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song:
Explaining Point Processes by Learning Interpretable Temporal Logic Rules. ICLR 2022 - [c56]Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. IJCAI 2022: 2406-2412 - [c55]Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang:
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. KDD 2022: 4032-4040 - [c54]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 - [c53]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 - [c52]Minghua Ma, Yudong Liu, Yuang Tong, Haozhe Li, Pu Zhao, Yong Xu, Hongyu Zhang, Shilin He, Lu Wang, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin:
An empirical investigation of missing data handling in cloud node failure prediction. ESEC/SIGSOFT FSE 2022: 1453-1464 - [c51]Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Iñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Spot Virtual Machine Eviction Prediction in Microsoft Cloud. WWW (Companion Volume) 2022: 152-156 - [i51]Shuyang Cao, Lu Wang:
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. CoRR abs/2203.10741 (2022) - [i50]Xinyu Hua, Lu Wang:
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. CoRR abs/2204.00707 (2022) - [i49]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) - [i48]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) - [i47]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) - [i46]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. CoRR abs/2211.01467 (2022) - [i45]Shuyang Cao, Lu Wang:
Time-aware Prompting for Text Generation. CoRR abs/2211.02162 (2022) - [i44]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) - [i43]Joseph J. Peper, Lu Wang:
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. CoRR abs/2211.07743 (2022) - [i42]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. CoRR abs/2211.11759 (2022) - 2021
- [j4]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. Trans. Assoc. Comput. Linguistics 9: 1213-1232 (2021) - [c50]Xinyu Hua, Ashwin Sreevatsa, Lu Wang:
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. ACL/IJCNLP (1) 2021: 6408-6423 - [c49]Shuyang Cao, Lu Wang:
Controllable Open-ended Question Generation with A New Question Type Ontology. ACL/IJCNLP (1) 2021: 6424-6439 - [c48]Yuhan Shen, Lu Wang, Ehsan Elhamifar:
Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment. CVPR 2021: 10156-10165 - [c47]Shuyang Cao, Lu Wang:
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. EMNLP (1) 2021: 6633-6649 - [c46]Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. NAACL-HLT 2021: 1419-1436 - [c45]Shuyang Cao, Lu Wang:
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. NAACL-HLT 2021: 5008-5016 - [c44]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] - [i41]Shuyang Cao, Lu Wang:
Inference Time Style Control for Summarization. CoRR abs/2104.01724 (2021) - [i40]Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. CoRR abs/2104.02112 (2021) - [i39]Shuyang Cao, Lu Wang:
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. CoRR abs/2104.02205 (2021) - [i38]Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang:
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning. CoRR abs/2105.07944 (2021) - [i37]Xinyu Hua, Ashwin Sreevatsa, Lu Wang:
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. CoRR abs/2106.00791 (2021) - [i36]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) - [i35]Shuyang Cao, Lu Wang:
Controllable Open-ended Question Generation with A New Question Type Ontology. CoRR abs/2107.00152 (2021) - [i34]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. CoRR abs/2108.03405 (2021) - [i33]Shuyang Cao, Lu Wang:
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. CoRR abs/2109.09209 (2021) - 2020
- [c43]Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin:
Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. AAAI 2020: 9306-9313 - [c42]Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong:
Dynamic Online Conversation Recommendation. ACL 2020: 3331-3341 - [c41]Luyang Huang, Lingfei Wu, Lu Wang:
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. ACL 2020: 5094-5107 - [c40]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 - [c39]Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang:
XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. AKBC 2020 - [c38]Xinyu Hua, Lu Wang:
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. EMNLP (1) 2020: 781-793 - [c37]Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin:
Modeling Content Importance for Summarization with Pre-trained Language Models. EMNLP (1) 2020: 3606-3611 - [c36]Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha:
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. ICLR 2020 - [c35]Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song:
Temporal Logic Point Processes. ICML 2020: 5990-6000 - [c34]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 - [c33]Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha:
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. WWW 2020: 1785-1795 - [i32]Luyang Huang, Lingfei Wu, Lu Wang:
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. CoRR abs/2005.01159 (2020) - [i31]Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang:
XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. CoRR abs/2006.14017 (2020) - [i30]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
- [c32]Hai Ye, Wenjie Li, Lu Wang:
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. ACL (1) 2019: 2090-2101 - [c31]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. ACL (1) 2019: 2163-2174 - [c30]Eva Sharma, Chen Li, Lu Wang:
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. ACL (1) 2019: 2204-2213 - [c29]Xinyu Hua, Zhe Hu, Lu Wang:
Argument Generation with Retrieval, Planning, and Realization. ACL (1) 2019: 2661-2672 - [c28]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 - [c27]Lu Wang, Wei Zhang, Xiaofeng He:
Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning. DASFAA (2) 2019: 36-52 - [c26]Xinyu Hua, Lu Wang:
Sentence-Level Content Planning and Style Specification for Neural Text Generation. EMNLP/IJCNLP (1) 2019: 591-602 - [c25]Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang:
An Entity-Driven Framework for Abstractive Summarization. EMNLP/IJCNLP (1) 2019: 3278-3289 - [c24]Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong:
Neural Conversation Recommendation with Online Interaction Modeling. EMNLP/IJCNLP (1) 2019: 4632-4642 - [c23]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 - [c22]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. ICDM 2019: 1378-1383 - [c21]Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang:
Argument Mining for Understanding Peer Reviews. NAACL-HLT (1) 2019: 2131-2137 - [i29]Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang:
Argument Mining for Understanding Peer Reviews. CoRR abs/1903.10104 (2019) - [i28]Hai Ye, Wenjie Li, Lu Wang:
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. CoRR abs/1906.00575 (2019) - [i27]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) - [i26]Xinyu Hua, Zhe Hu, Lu Wang:
Argument Generation with Retrieval, Planning, and Realization. CoRR abs/1906.03717 (2019) - [i25]Eva Sharma, Chen Li, Lu Wang:
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. CoRR abs/1906.03741 (2019) - [i24]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. CoRR abs/1906.04106 (2019) - [i23]Xinyu Hua, Lu Wang:
Sentence-Level Content Planning and Style Specification for Neural Text Generation. CoRR abs/1909.00734 (2019) - [i22]Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang:
An Entity-Driven Framework for Abstractive Summarization. CoRR abs/1909.02059 (2019) - [i21]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) - [i20]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. CoRR abs/1910.01784 (2019) - [i19]Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha:
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. CoRR abs/1910.04849 (2019) - 2018
- [c20]Xinyu Hua, Lu Wang:
Neural Argument Generation Augmented with Externally Retrieved Evidence. ACL (1) 2018: 219-230 - [c19]Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha:
Personalized Prescription for Comorbidity. DASFAA (2) 2018: 3-19 - [c18]Hai Ye, Lu Wang:
Semi-Supervised Learning for Neural Keyphrase Generation. EMNLP 2018: 4142-4153 - [c17]Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha:
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. KDD 2018: 2447-2456 - [c16]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 - [i18]Xinyu Hua, Lu Wang:
Neural Argument Generation Augmented with Externally Retrieved Evidence. CoRR abs/1805.10254 (2018) - [i17]Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha:
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. CoRR abs/1807.01473 (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
- [j3]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) - [j2]Yuxiang Shi, Ren Xie, Lu Wang, Yanjun Shi, Hui Li:
Switching Characterization and Short-Circuit Protection of 1200 V SiC MOSFET T-Type Module in PV Inverter Application. IEEE Trans. Ind. Electron. 64(11): 9135-9143 (2017) - [j1]Yanjun Shi, Lu Wang, Ren Xie, Yuxiang Shi, Hui Li:
A 60-kW 3-kW/kg Five-Level T-Type SiC PV Inverter With 99.2% Peak Efficiency. IEEE Trans. Ind. Electron. 64(11): 9144-9154 (2017) - [c15]Xinyu Hua, Lu Wang:
Understanding and Detecting Diverse Supporting Arguments on Controversial Issues. ACL (2) 2017: 203-208 - [c14]Kechen Qin, Lu Wang, Joseph Kim:
Joint Modeling of Content and Discourse Relations in Dialogues. ACL (1) 2017: 974-984 - [c13]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 - [c12]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 - [c11]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
- [c10]Lu Wang, Claire Cardie, Galen Marchetti:
Socially-Informed Timeline Generation for Complex Events. HLT-NAACL 2015: 1055-1065 - 2014
- [c9]Lu Wang, Claire Cardie:
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection. ACL (2) 2014: 693-699 - [c8]Weishan Dong, Renjie Yao, Chunyang Ma, Changsheng Li, Lei Shi, Lu Wang, Yu Wang, Peng Gao, Junchi Yan:
Maximizing Multi-scale Spatial Statistical Discrepancy. CIKM 2014: 471-480 - [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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