Wenhao Yu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 84

Top Topics

Transfer Learning

Text Generation

Link Prediction

Question Answering

Top Venues

EMNLP (Findings)

Publications

Zhihan Zhang, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. CoRR (2024)
Anni Zou, Wenhao Yu, Hongming Zhang, Kaixin Ma, Deng Cai, Zhuosheng Zhang, Hai Zhao, Dong Yu
DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems. CoRR (2024)
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
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR (2024)
Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. ACL (1) (2024)
Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions. CoRR (2024)
Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang
Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training. CoRR (2024)
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.
StarCoder 2 and The Stack v2: The Next Generation. CoRR (2024)
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. Trans. Assoc. Comput. Linguistics 11 (2023)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) (2023)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. CoRR (2023)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. EMNLP (Findings) (2023)
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. EMNLP (2023)
Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
Large Language Models are Built-in Autoregressive Search Engines. ACL (Findings) (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. CoRR (2023)
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. EMNLP (2023)
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang
A Survey of Deep Learning for Mathematical Reasoning. ACL (1) (2023)
Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
Large Language Models are Built-in Autoregressive Search Engines. CoRR (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS (2023)
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. EACL (2023)
Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang
The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing. KDD (2023)
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. CoRR (2023)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. ICLR (2023)
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 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
StarCoder: may the source be with you! CoRR (2023)
Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang
Pre-training Language Models for Comparative Reasoning. CoRR (2023)
Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. CoRR (2023)
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, 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
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023)
Daheng Wang, Tong Zhao, Wenhao Yu, Nitesh V. Chawla, Meng Jiang
Deep Multimodal Complementarity Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. CoRR (2023)
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. CoRR (2023)
Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang
Pre-training Language Models for Comparative Reasoning. EMNLP (2023)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. ICLR (2023)
Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal
Improving Language Models via Plug-and-Play Retrieval Feedback. CoRR (2023)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. WSDM (2023)
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. CoRR (2022)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
A Survey of Knowledge-enhanced Text Generation. ACM Comput. Surv. 54 (11s) (2022)
Jinfeng Lin, Amrit Poudel, Wenhao Yu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data. CoRR (2022)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR (2022)
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
Learning from Counterfactual Links for Link Prediction. ICML (2022)
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
Task Compass: Scaling Multi-task Pre-training with Task Prefix. CoRR (2022)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) (2022)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. ACL (Findings) (2022)
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP (2022)
Wenhao Yu
Retrieval-augmented Generation across Heterogeneous Knowledge. NAACL-HLT (Student Research Workshop) (2022)
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR (2022)
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
A Unified Encoder-Decoder Framework with Entity Memory. EMNLP (2022)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) (2022)
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. ACL (Findings) (2022)
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang
A Survey of Deep Learning for Mathematical Reasoning. CoRR (2022)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) (2022)
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
Task Compass: Scaling Multi-task Pre-training with Task Prefix. EMNLP (Findings) (2022)
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
A Unified Encoder-Decoder Framework with Entity Memory. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. CoRR (2022)
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. CoRR (2022)
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
Counterfactual Graph Learning for Link Prediction. CoRR (2021)
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. CoRR (2021)
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. KDD (2021)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR (2021)
Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang
Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM (2021)
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang
Technical Question Answering across Tasks and Domains. NAACL-HLT (Industry Papers) (2021)
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
Few-Shot Graph Learning for Molecular Property Prediction. WWW (2021)
Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang
Injecting Entity Types into Entity-Guided Text Generation. EMNLP (1) (2021)
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang
Validating Label Consistency in NER Data Annotation. CoRR (2021)
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Meng Jiang
Validating Label Consistency in NER Data Annotation. Eval4NLP (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. EMNLP (1) (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. CoRR (2021)
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
Few-Shot Graph Learning for Molecular Property Prediction. CoRR (2021)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. CoRR (2021)
Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang
Early Anomaly Detection by Learning and Forecasting Behavior. CoRR (2020)
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
A Survey of Knowledge-Enhanced Text Generation. CoRR (2020)
Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Guven, Meng Jiang
A Technical Question Answering System with Transfer Learning. EMNLP (Demos) (2020)
Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER. EMNLP (Findings) (2020)
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang
Technical Question Answering across Tasks and Domains. CoRR (2020)
Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. CIKM (2020)
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang
Crossing Variational Autoencoders for Answer Retrieval. CoRR (2020)
Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. WWW (2020)
Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang
Identifying Referential Intention with Heterogeneous Contexts. WWW (2020)
Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang
Injecting Entity Types into Entity-Guided Text Generation. CoRR (2020)
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang
Crossing Variational Autoencoders for Answer Retrieval. ACL (2020)
Wenhao Yu, Zongze Li, Qingkai Zeng, Meng Jiang
Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System. WWW (2019)
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Jinjun Xiong, Yiyu Shi, Meng Jiang
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method. TextGraphs@EMNLP (2019)