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[NeurIPS'23] Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song
2023 Conference on Neural Information Processing Systems (NeurIPS'23).
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[EMNLP'23-Findings] Improving Consistency for Text Summarization with Energy Functions
Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang
The 2023 Conference on Empirical Methods in Natural Language Processing, Findings (EMNLP'23-Findings).
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[EMNLP'23-Findings] Knowledge-Selective Pretraining for Attribute Value Extraction
Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Yang Wang, Xiaodan Zhu
The 2023 Conference on Empirical Methods in Natural Language Processing, Findings (EMNLP'23-Findings).
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[arXiv'23] Situated Natural Language Explanations
Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
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[arXiv'23] CCGen: Explainable Complementary Concept Generation in E-Commerce
Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin
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[ACL'23] Self-Consistent Chain-of-Thought Distillation
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin and Xiang Ren
The 61st Annual Meeting of the Association for Computational Linguistics (ACL’23) Outstanding Paper Award.
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[ACL'23-Findings] Graph Reasoning for Question Answering with Triplet Retrieval
Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang and Bing Yin
The 61st Annual Meeting of the Association for Computational Linguistics, Findings (ACL’23-Findings).
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[ACL'23-Findings] FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense
Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
The 61st Annual Meeting of the Association for Computational Linguistics, Findings (ACL’23-Findings).
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[AI Open'23] Improving Task Generalization via Unified Schema Prompt
Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
AI Open, 2023.
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[RecSys'22] Query Attribute Recommendation at Amazon Search
Chen Luo, William Headean, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin
The 16th ACM Recommender Systems Conference, 2022 (RecSys 2022, Industry Talk Proposal).
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[NAACL'22] ProQA: Structural Prompt-based Pre-training for Unified Question Answering
Wanjun Zhong*, Yifan Gao*, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan (* indicates equal contribution)
The 2022 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022, Long Paper).
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[NAACL'22-Findings] Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
Yifan Gao, Qingyu Yin, zheng li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu
Findings of the Association for Computational Linguistics: NAACL 2022, Long Paper.
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[PhD Thesis] Teaching Machines to Ask and Answer Questions: Knowledge Assessment and Information Acquisition in Reading Comprehension
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[arXiv'21] Open-Retrieval Conversational Machine Reading
Yifan Gao, Jingjing Li, Chien-Sheng Wu, Michael R. Lyu, Irwin King
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[ACL'21] Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
Yifan Gao, Henghui Zhu, Patrick Ng, Cicero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
The 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021, Long Paper, Oral).
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[EMNLP'20] Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq Joty, Steven C.H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, Long Paper, Oral).
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[EMNLP'20-Findings] Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King
Findings of the Association for Computational Linguistics: EMNLP 2020, Long Paper.
Presented at The First Workshop on Computational Approaches to Discourse (CODI 2020).
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[ACL'20] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
Yifan Gao, Chien-Sheng Wu, Shafiq Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C.H. Hoi
The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020, Long Paper).
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[EMNLP'19] Improving Question Generation With to the Point Context
Jingjing Li*, Yifan Gao*, Lidong Bing, Irwin King, Michael R. Lyu (* indicates equal contribution)
The 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019, Long Paper, Poster).
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[ACL'19] Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
Yifan Gao, Piji Li, Irwin King, Michael R. Lyu
The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019, Long Paper, Oral).
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[IJCAI'19] Difficulty Controllable Question Generation for Reading Comprehension
Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King
The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019).
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[AAAI'19] Generating Distractors for Reading Comprehension Questions from Real Examinations
Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019).
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[AAAI'19] Title-Guided Encoding for Keyphrase Generation
Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019).