Selected Publications
Conference Tutorials
(2) Knowledge-Augmented Methods for Natural Language Processing
C. Zhu, Y. Xu, X. Ren, Y. Lin, M. Jiang, W. Yu
[ACL 2022] Annual Meeting of the Association for Computational Linguistics
[description] [website](1) Knowledge-Enriched Natural Language Generation
W. Yu, M. Jiang, Z. Hu, Q. Wang, H. Ji, N. Rajani
[EMNLP 2021] Conference on Empirical Methods on Natural Language Processing
[description] [website]
Journal Papers
(3) Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions
Z. Zhang, W. Yu, Z. Ning, M. Ju, M. Jiang
[TACL 2023] Transactions of the Association for Computational Linguistics (IF: 9.19)
(2) Deep Multimodal Complementarity Learning
D. Wang, T. Zhao, W. Yu, N. Chawla, M. Jiang
[TNNLS 2022] IEEE Transactions on Neural Networks and Learning Systems (IF: 10.45)
[pdf] [doi](1) A Survey of Knowledge-Enhanced Text Generation
W. Yu, C. Zhu, Z. Li, Z. Hu, Q. Wang, H. Ji, M. Jiang
[CSUR 2022] ACM Computing Surveys (IF: 10.28)
[pdf] [reading list]
Conference Papers (2025)
(5) Cognitive kernel: An open-source agent system towards generalist autopilots
Hongming Zhang, Xiaoman Pan, Hongwei Wang, Kaixin Ma, Wenhao Yu, Dong Yu
[NAACL 2025] Annual Conference of the North American Chapter of the Association for Computational Linguistics
[pdf] [code](4) RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu
[ICLR 2025] International Conference on Learning Representations
[pdf] [code](3) LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu
[ICLR 2025] International Conference on Learning Representations
[pdf] [code](2) DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu
[ICLR 2025] International Conference on Learning Representations
[pdf] [code](1) BigCodebench: Benchmarking code generation with diverse function calls and complex instructions
Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu and 30 additional authors
[ICLR 2025] International Conference on Learning Representations
[pdf] [code]
Conference Papers (2024)
(6) Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Wenhao Yu, Hongming Zhang, Xiaoman Pan, Kaixin Ma, Hongwei Wang, Dong Yu
[EMNLP 2024] The 2024 Conference on Empirical Methods in Natural Language Processing
[pdf](5) Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Zhihan Zhang, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
[EMNLP 2024] The 2024 Conference on Empirical Methods in Natural Language Processing
[pdf] [code](4) Dense X retrieval: What Retrieval Granularity Should We Use?
Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Dong Yu, Hongming Zhang
[EMNLP 2024] The 2024 Conference on Empirical Methods in Natural Language Processing
[pdf](3) PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri
[ACL 2024] 2024 Annual Conference of Association for Computational Linguistics
[pdf] [code](2) WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu
[ACL 2024] 2024 Annual Conference of Association for Computational Linguistics
[pdf] [code](1) Sub-sentence encoder: Contrastive learning of propositional semantic representations
Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu
[NAACL 2024] 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics
[pdf] [code]
Conference Papers (2023)
(11) IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
W. Yu, M. Jiang, P. Clark, A. Sabharwal
[EMNLP 2023] Conference on Empirical Methods on Natural Language Processing
[pdf]
Outstanding Paper Award at EMNLP 2023(10) Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Z. Liang, W. Yu, T. Rajpurohit, P. Clark, X. Zhang, A. Kalyan
[EMNLP 2023] Conference on Empirical Methods on Natural Language Processing
[pdf](9) Pre-training Language Models for Comparative Reasoning
M. Yu, Z. Zhang, W. Yu, M. Jiang
[EMNLP 2023] Conference on Empirical Methods on Natural Language Processing
[pdf](8) Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Z. Zhang, S. Wang, W. Yu, Y. Xu, D. Iter, Q. Zeng, Y. Liu, C. Zhu, M. Jiang
[EMNLP 2023] Findings of Empirical Methods on Natural Language Processing(7) GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
M. Ju, T. Zhao, W. Yu, N. Shah and Y. Ye
[NeurIPS 2023] Conference on Neural Information Processing Systems
[pdf](6) Large Language Models are Built-in Autoregressive Search Engines
N. Ziems, W. Yu, Z. Zhang and M. Jiang
[ACL 2023] Findings of Association for Computational Linguistics
[pdf] [code](5) A Survey of Deep Learning for Mathematical Reasoning
P. Lu, L. Qiu, W. Yu, S. Welleck, K. Chang
[ACL 2023] Annual Meeting of the Association for Computational Linguistics
[pdf](4) APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
S. Sanyal, Y. Xu, S. Wang, Z. Yang, R. Pryzant, W. Yu, C. Zhu, X. Ren
[ACL 2023] Annual Meeting of the Association for Computational Linguistics
[pdf] [code](3) A Survey of Multi-task Learning in Natural Language Processing
Z. Zhang, W. Yu, M. Yu, Z. Guo, M. Jiang
[EACL 2023] Conference of the European Chapter of the Association for Computational Linguistics
[pdf](2) Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
M. Ju, T. Zhao, Q. Wen, W. Yu, N. Shah, Y. Ye, C. Zhang
[ICLR 2023] International Conference on Learning Representations
[pdf] [code] [openreview](1) Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu, D. Iter, S. Wang, Y. Xu, M. Ju, S. Sanyal, C. Zhu, M. Zeng, M. Jiang
[ICLR 2023] International Conference on Learning Representations
[pdf] [code] [openreview]
Conference Papers (2022)
(9) A Unified Encoder-Decoder Framework with Entity Memory
Z. Zhang, W. Yu, C. Zhu, and M. Jiang
[EMNLP 2022] Conference on Empirical Methods on Natural Language Processing
[pdf] [code](8) Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering
Z. Hu, Y. Xu, W. Yu, S. Wang, Z. Yang, C. Zhu, K. Chang and Y. Sun
[EMNLP 2022] Conference on Empirical Methods on Natural Language Processing
[pdf] [code] Best Paper Award at SoCal NLP Symposium 2022(7) Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
W. Yu, C. Zhu, Z. Zhang, S. Wang, Z. Zhang, Y. Fang and M. Jiang
[EMNLP 2022] Conference on Empirical Methods on Natural Language Processing
[pdf] [code](6) Task Compass: Scaling Multi-task Pre-training with Task Prefix
Z. Zhang, S. Wang, Y. Xu, Y. Fang, W. Yu, Y. Liu, H. Zhao, C. Zhu and M. Zeng
[EMNLP 2022] Findings of Empirical Methods on Natural Language Processing
[pdf] [code](5) Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
M. Ju*, W. Yu* (equal contribution), T. Zhao, C. Zhang and Y. Ye
[EMNLP 2022] Findings of Empirical Methods on Natural Language Processing
[pdf] [code]
(4) Learning from Counterfactual Graph for Link Prediction
T. Zhao, G. Liu, D. Wang, W. Yu, M. Jiang
[ICML 2022] International Conference on Machine Learning
[pdf] [code](3) KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
D. Yu, C. Zhu, Y. Fang, W. Yu, S. Wang, Y. Xu, X. Ren, Y. Yang, M. Zeng
[ACL 2022] Annual Meeting of the Association for Computational Linguistics
[pdf](2) Dict-BERT: Enhancing Language Model Pre-training with Dictionary
W. Yu, C. Zhu, Y. Fang, D. Yu, S. Wang, Y. Xu, M. Zeng, M. Jiang
[ACL 2022] Findings of Association for Computational Linguistics
[pdf] [code] [checkpoint](1) Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
W. Yu, C. Zhu, L. Qin, Z. Zhang, T. Zhao, M. Jiang
[ACL 2022] Findings of Association for Computational Linguistics
[pdf] [code]
Conference Papers (2021)
(4) Sentence-Permuted Paragraph Generation
W. Yu, C. Zhu, T. Zhao, Z. Guo, M. Jiang
[EMNLP 2021] Conference on Empirical Methods on Natural Language Processing
[arXiv] [code](3) Injecting Entity Types into Entity-Guided Text Generation
X. Dong, W. Yu, C. Zhu, M. Jiang
[EMNLP 2021] Conference on Empirical Methods on Natural Language Processing
[arXiv] [code](2) Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Q. Zeng, J, Lin, W. Yu, J. Huang, M. Jiang
[KDD 2021] International Conference on Knowledge Discovery and Data Mining
[pdf] [code](1) Technical Question Answering across Tasks and Domains
W. Yu, L. Wu, Y. Deng, Q. Zeng, R. Mahindru, S. Guven, M. Jiang
[NAACL 2021] Annual Conference of the North American Chapter of the Association for Computational Linguistics
[pdf] [code] [poster]
Conference Papers (2020)
(3) Tri-Train: Automatic Pre-fine Tuning between Pre-training and Fine-tune Training for SciNER
Q. Zeng, W. Yu, M. Yu, T. Jiang, T. Weninger, M. Jiang
[EMNLP 2020] Findings of Empirical Methods on Natural Language Processing
[pdf] [code](2) Crossing Variational Autoencoders for Answer Retrieval
W. Yu, L. Wu, Q. Zeng, S. Tao, Y. Deng, M. Jiang
[ACL 2020] Annual Meeting of the Association for Computational Linguistics
[pdf] [code is currently unavailable](1) Identifying Referential Intention with Heterogeneous Contexts
W. Yu, M. Yu, T. Zhao, M. Jiang
[WWW 2020] The Web Conference (formerly known as World Wide Web)
[pdf] [code] [slides]