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 (2023)

• (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
  

• (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]