Wenhao Yu

139 papers A* 27A 4Journal 81Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning.
CoRR
Kishan Panaganti, Zhenwen Liang, Wenhao Yu, Haitao Mi, Dong Yu
2026 A* conf
ReCode: Updating Code API Knowledge with Reinforcement Learning.
AAAI
Haoze Wu, Yunzhi Yao, Wenhao Yu, Ningyu Zhang
2026 J jnl
The Single-Multi Evolution Loop for Self-Improving Model Collaboration Systems.
CoRR
Shangbin Feng, Kishan Panaganti, Yulia Tsvetkov, Wenhao Yu
2026 J jnl
VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models.
Trans. Mach. Learn. Res.
Ce Zhang, Kaixin Ma, Tianqing Fang, Wenhao Yu, Hongming Zhang, Zhisong Zhang, Haitao Mi, Dong Yu
2026 — conf
WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms.
EACL (Volume 2: Short Papers)
Zhisong Zhang, Tianqing Fang, Kaixin Ma, Wenhao Yu, Hongming Zhang, Haitao Mi, Dong Yu
2025 J jnl
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection.
CoRR
Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
2025 J jnl
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution.
CoRR
Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen Gong, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Suppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia, Jihan Yao, Kenneth Hamilton, Kumar Shridhar, Minh Chien Vu, Dingmin Wang, Jiawei Liu, Zijian Wang, Qian Liu, Binyuan Hui, Meg Risdal, Ahsen Khaliq, Atin Sood, Zhenchang Xing, Wasi Uddin Ahmad, John Grundy, David Lo, Banghua Zhu, Xiaoning Du, Torsten Scholak, Leandro von Werra
2025 A* conf
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
ICLR
Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, et al.
2025 J jnl
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning.
CoRR
Zhenwen Liang, Sidi Lu, Wenhao Yu, Kishan Panaganti, Yujun Zhou, Haitao Mi, Dong Yu
2025 — conf
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots.
NAACL (System Demonstrations)
Hongming Zhang, Xiaoman Pan, Hongwei Wang, Kaixin Ma, Wenhao Yu, Dong Yu
2025 A* conf
DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?
ICLR
Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu
2025 J jnl
Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
CoRR
Peilin Wu, Xinlu Zhang, Wenhao Yu, Xingyu Liu, Xinya Du, Zhiyu Zoey Chen
2025 J jnl
Don't Throw Away Your Pretrained Model.
CoRR
Shangbin Feng, Wenhao Yu, Yike Wang, Hongming Zhang, Yulia Tsvetkov, Dong Yu
2025 J jnl
Enhancing Web Agents with Explicit Rollback Mechanisms.
CoRR
Zhisong Zhang, Tianqing Fang, Kaixin Ma, Wenhao Yu, Hongming Zhang, Haitao Mi, Dong Yu
2025 J jnl
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation.
CoRR
Yujun Zhou, Zhenwen Liang, Haolin Liu, Wenhao Yu, Kishan Panaganti, Linfeng Song, Dian Yu, Xiangliang Zhang, Haitao Mi, Dong Yu
2025 J jnl
Guided Self-Evolving LLMs with Minimal Human Supervision.
CoRR
Wenhao Yu, Zhenwen Liang, Chengsong Huang, Kishan Panaganti, Tianqing Fang, Haitao Mi, Dong Yu
2025 J jnl
KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality.
CoRR
Baochang Ren, Shuofei Qiao, Wenhao Yu, Huajun Chen, Ningyu Zhang
2025 J jnl
Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks.
Trans. Mach. Learn. Res.
Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Dong Yu, Meng Jiang
2025 A* conf
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.
ICLR
Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu
2025 J jnl
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly.
CoRR
Zhaowei Wang, Wenhao Yu, Xiyu Ren, Jipeng Zhang, Yu Zhao, Rohit Saxena, Liang Cheng, Ginny Y. Wong, Simon See, Pasquale Minervini, Yangqiu Song, Mark Steedman
2025 J jnl
MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment.
CoRR
Yucheng Shi, Wenhao Yu, Zaitang Li, Yonglin Wang, Hongming Zhang, Ninghao Liu, Haitao Mi, Dong Yu
2025 J jnl
MotionEdit: Benchmarking and Learning Motion-Centric Image Editing.
CoRR
Yixin Wan, Lei Ke, Wenhao Yu, Kai-Wei Chang, Dong Yu
2025 J jnl
OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas.
CoRR
Xiaoyang Wang, Hongming Zhang, Tao Ge, Wenhao Yu, Dian Yu, Dong Yu
2025 — conf
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization.
ACL (1)
Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Hongming Zhang, Tianqing Fang, Zhenzhong Lan, Dong Yu
2025 J jnl
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning.
CoRR
Tong Zheng, Hongming Zhang, Wenhao Yu, Xiaoyang Wang, Runpeng Dai, Rui Liu, Huiwen Bao, Chengsong Huang, Heng Huang, Dong Yu
2025 J jnl
R-Zero: Self-Evolving Reasoning LLM from Zero Data.
CoRR
Chengsong Huang, Wenhao Yu, Xiaoyang Wang, Hongming Zhang, Zongxia Li, Ruosen Li, Jiaxin Huang, Haitao Mi, Dong Yu
2025 J jnl
ReCode: Updating Code API Knowledge with Reinforcement Learning.
CoRR
Haoze Wu, Yunzhi Yao, Wenhao Yu, Huajun Chen, Ningyu Zhang
2025 A* conf
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph.
ICLR
Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu
2025 A* conf
Retrieval-augmented GUI Agents with Generative Guidelines.
EMNLP
Ran Xu, Kaixin Ma, Wenhao Yu, Hongming Zhang, Joyce C. Ho, Carl Yang, Dong Yu
2025 J jnl
Retrieval-augmented GUI Agents with Generative Guidelines.
CoRR
Ran Xu, Kaixin Ma, Wenhao Yu, Hongming Zhang, Joyce C. Ho, Carl Yang, Dong Yu
2025 J jnl
Self-Regularization with Latent Space Explanations for Controllable LLM-based Classification.
CoRR
Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu
2025 — conf
Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification.
KDD (2)
Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu
2025 J jnl
Self-Rewarding Vision-Language Model via Reasoning Decomposition.
CoRR
Zongxia Li, Wenhao Yu, Chengsong Huang, Rui Liu, Zhenwen Liang, Fuxiao Liu, Jingxi Che, Dian Yu, Jordan L. Boyd-Graber, Haitao Mi, Dong Yu
2025 J jnl
Towards Trustworthy GUI Agents: A Survey.
CoRR
Yucheng Shi, Wenhao Yu, Wenlin Yao, Wenhu Chen, Ninghao Liu
2025 J jnl
VOGUE: Guiding Exploration with Visual Uncertainty Improves Multimodal Reasoning.
CoRR
Rui Liu, Dian Yu, Tong Zheng, Runpeng Dai, Zongxia Li, Wenhao Yu, Zhenwen Liang, Linfeng Song, Haitao Mi, Pratap Tokekar, Dong Yu
2025 J jnl
VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models.
CoRR
Ce Zhang, Kaixin Ma, Tianqing Fang, Wenhao Yu, Hongming Zhang, Zhisong Zhang, Yaqi Xie, Katia P. Sycara, Haitao Mi, Dong Yu
2025 A* conf
WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model.
EMNLP
Tianqing Fang, Hongming Zhang, Zhisong Zhang, Kaixin Ma, Wenhao Yu, Haitao Mi, Dong Yu
2025 J jnl
WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model.
CoRR
Tianqing Fang, Hongming Zhang, Zhisong Zhang, Kaixin Ma, Wenhao Yu, Haitao Mi, Dong Yu
2024 J jnl
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
CoRR
Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra
2024 A* conf
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models.
EMNLP
Wenhao Yu, Hongming Zhang, Xiaoman Pan, Peixin Cao, Kaixin Ma, Jian Li, Hongwei Wang, Dong Yu
2024 J jnl
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots.
CoRR
Hongming Zhang, Xiaoman Pan, Hongwei Wang, Kaixin Ma, Wenhao Yu, Dong Yu
2024 J jnl
DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems.
CoRR
Anni Zou, Wenhao Yu, Hongming Zhang, Kaixin Ma, Deng Cai, Zhuosheng Zhang, Hai Zhao, Dong Yu
2024 J jnl
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
CoRR
Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu
2024 A* conf
Dense X Retrieval: What Retrieval Granularity Should We Use?
EMNLP
Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu
2024 J jnl
Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training.
CoRR
Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang
2024 — book
Knowledge-augmented Methods for Natural Language Processing
Meng Jiang, Bill Yuchen Lin, Shuohang Wang, Yichong Xu, Wenhao Yu, Chenguang Zhu
2024 A* conf
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.
EMNLP
Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
2024 J jnl
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.
CoRR
Zhihan Zhang, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
2024 J jnl
Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks.
CoRR
Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Meng Jiang, Dong Yu
2024 J jnl
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.
CoRR
Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu
2024 J jnl
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions.
CoRR
Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu
2024 J jnl
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization.
CoRR
Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Hongming Zhang, Tianqing Fang, Zhenzhong Lan, Dong Yu
2024 — conf
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning.
ACL (1)
Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri
2024 J jnl
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph.
CoRR
Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu
2024 J jnl
StarCoder 2 and The Stack v2: The Next Generation.
CoRR
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.
2024 — conf
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations.
NAACL-HLT
Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu
2024 — conf
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.
ACL (1)
Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu
2024 J jnl
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.
CoRR
Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu
2023 — conf
A Survey of Deep Learning for Mathematical Reasoning.
ACL (1)
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang
2023 A conf
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods.
EACL
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
2023 — conf
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.
ACL (1)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2023 — conf
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
EMNLP (Findings)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2023 J jnl
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
CoRR
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2023 J jnl
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models.
CoRR
Wenhao Yu, Hongming Zhang, Xiaoman Pan, Kaixin Ma, Hongwei Wang, Dong Yu
2023 J jnl
Deep Multimodal Complementarity Learning.
IEEE Trans. Neural Networks Learn. Syst.
Daheng Wang, Tong Zhao, Wenhao Yu, Nitesh V. Chawla, Meng Jiang
2023 J jnl
Dense X Retrieval: What Retrieval Granularity Should We Use?
CoRR
Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu
2023 J jnl
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions.
CoRR
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
2023 J jnl
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions.
Trans. Assoc. Comput. Linguistics
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
2023 A* conf
Generate rather than Retrieve: Large Language Models are Strong Context Generators.
ICLR
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
2023 A* conf
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation.
NeurIPS
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
2023 J jnl
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation.
CoRR
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
2023 A* conf
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions.
EMNLP
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
2023 J jnl
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions.
CoRR
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
2023 J jnl
Improving Language Models via Plug-and-Play Retrieval Feedback.
CoRR
Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal
2023 A conf
Knowledge-Augmented Methods for Natural Language Processing.
WSDM
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
2023 — conf
Large Language Models are Built-in Autoregressive Search Engines.
ACL (Findings)
Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
2023 J jnl
Large Language Models are Built-in Autoregressive Search Engines.
CoRR
Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
2023 A* conf
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation.
EMNLP
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
2023 J jnl
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation.
CoRR
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
2023 A* conf
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.
ICLR
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
2023 J jnl
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning.
CoRR
Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri
2023 A* conf
Pre-training Language Models for Comparative Reasoning.
EMNLP
Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang
2023 J jnl
Pre-training Language Models for Comparative Reasoning.
CoRR
Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang
2023 J jnl
StarCoder: may the source be with you!
CoRR
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries
2023 J jnl
StarCoder: may the source be with you!
Trans. Mach. Learn. Res.
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries
2023 J jnl
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations.
CoRR
Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu
2023 A* conf
The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing.
KDD
Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang
2022 J jnl
A Survey of Deep Learning for Mathematical Reasoning.
CoRR
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang
2022 J jnl
A Survey of Knowledge-enhanced Text Generation.
ACM Comput. Surv.
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
2022 J jnl
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods.
CoRR
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
2022 A* conf
A Unified Encoder-Decoder Framework with Entity Memory.
EMNLP
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
2022 J jnl
A Unified Encoder-Decoder Framework with Entity Memory.
CoRR
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
2022 J jnl
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.
CoRR
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2022 — conf
Dict-BERT: Enhancing Language Model Pre-training with Dictionary.
ACL (Findings)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
2022 — conf
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.
ACL (Findings)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
2022 J jnl
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.
CoRR
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
2022 A* conf
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.
EMNLP
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022 J jnl
Empowering Language Models with Knowledge Graph Reasoning for Question Answering.
CoRR
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022 J jnl
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data.
CoRR
Jinfeng Lin, Amrit Poudel, Wenhao Yu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang
2022 J jnl
Generate rather than Retrieve: Large Language Models are Strong Context Generators.
CoRR
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
2022 — conf
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering.
EMNLP (Findings)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
2022 J jnl
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering.
CoRR
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
2022 — conf
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.
ACL (1)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2022 — conf
Knowledge-Augmented Methods for Natural Language Processing.
ACL (tutorial)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu
2022 A* conf
Learning from Counterfactual Links for Link Prediction.
ICML
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
2022 J jnl
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.
CoRR
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
2022 A* conf
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach.
EMNLP
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
2022 J jnl
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach.
CoRR
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
2022 — conf
Retrieval-augmented Generation across Heterogeneous Knowledge.
NAACL-HLT (Student Research Workshop)
Wenhao Yu
2022 — conf
Task Compass: Scaling Multi-task Pre-training with Task Prefix.
EMNLP (Findings)
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
2022 J jnl
Task Compass: Scaling Multi-task Pre-training with Task Prefix.
CoRR
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
2021 A conf
Action Sequence Augmentation for Early Graph-based Anomaly Detection.
CIKM
Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang
2021 J jnl
Counterfactual Graph Learning for Link Prediction.
CoRR
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
2021 J jnl
Dict-BERT: Enhancing Language Model Pre-training with Dictionary.
CoRR
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
2021 A* conf
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations.
KDD
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang
2021 J jnl
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations.
CoRR
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang
2021 A* conf
Few-Shot Graph Learning for Molecular Property Prediction.
WWW
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
2021 J jnl
Few-Shot Graph Learning for Molecular Property Prediction.
CoRR
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
2021 — conf
Injecting Entity Types into Entity-Guided Text Generation.
EMNLP (1)
Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang
2021 J jnl
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.
CoRR
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2021 — conf
Knowledge-Enriched Natural Language Generation.
EMNLP (Tutorial Abstracts)
Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, Nazneen Rajani
2021 — conf
Sentence-Permuted Paragraph Generation.
EMNLP (1)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
2021 J jnl
Sentence-Permuted Paragraph Generation.
CoRR
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
2021 — conf
Technical Question Answering across Tasks and Domains.
NAACL-HLT (Industry Papers)
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Güven, Meng Jiang
2021 — conf
Validating Label Consistency in NER Data Annotation.
Eval4NLP
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Meng Jiang
2021 J jnl
Validating Label Consistency in NER Data Annotation.
CoRR
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang
2020 J jnl
A Survey of Knowledge-Enhanced Text Generation.
CoRR
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
2020 — conf
A Technical Question Answering System with Transfer Learning.
EMNLP (Demos)
Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Güven, Meng Jiang
2020 A* conf
Crossing Variational Autoencoders for Answer Retrieval.
ACL
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang
2020 J jnl
Crossing Variational Autoencoders for Answer Retrieval.
CoRR
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang
2020 J jnl
Early Anomaly Detection by Learning and Forecasting Behavior.
CoRR
Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang
2020 A* conf
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning.
WWW
Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang
2020 A conf
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction.
CIKM
Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
2020 A* conf
Identifying Referential Intention with Heterogeneous Contexts.
WWW
Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang
2020 J jnl
Injecting Entity Types into Entity-Guided Text Generation.
CoRR
Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang
2020 J jnl
Technical Question Answering across Tasks and Domains.
CoRR
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Güven, Meng Jiang
2020 — conf
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER.
EMNLP (Findings)
Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang
2019 — conf
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method.
TextGraphs@EMNLP
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Jinjun Xiong, Yiyu Shi, Meng Jiang
2019 A* conf
Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System.
WWW
Wenhao Yu, Zongze Li, Qingkai Zeng, Meng Jiang