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2020 – today
- 2024
[j3]Hanqi Yan
, Lin Gui, Menghan Wang, Kun Zhang, Yulan He:
Explainable Recommender With Geometric Information Bottleneck. IEEE Trans. Knowl. Data Eng. 36(7): 3036-3046 (2024)- [c11]Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models. ACL (Findings) 2024: 6467-6481 - [c10]Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He:
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning. ACL (1) 2024: 7086-7103 - [c9]Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He:
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. EMNLP 2024: 10423-10435 - [c8]Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis. EMNLP 2024: 14365-14378 - [c7]Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He:
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems. EMNLP 2024: 14707-14719 - [i12]Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He:
Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning. CoRR abs/2402.14963 (2024) - [i11]Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang:
Counterfactual Generation with Identifiability Guarantees. CoRR abs/2402.15309 (2024) - [i10]Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models. CoRR abs/2402.15637 (2024) - [i9]Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He:
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. CoRR abs/2406.17969 (2024) - [i8]Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He:
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems. CoRR abs/2406.18245 (2024) - 2023
- [j2]Runcong Zhao, Lin Gui, Hanqi Yan, Yulan He:
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews. Trans. Assoc. Comput. Linguistics 11: 404-418 (2023) - [c6]Hongjing Li, Hanqi Yan, Yanran Li, Li Qian, Yulan He, Lin Gui:
Distinguishability Calibration to In-Context Learning. EACL (Findings) 2023: 1355-1367 - [c5]Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric P. Xing, Yulan He, Kun Zhang:
Counterfactual Generation with Identifiability Guarantees. NeurIPS 2023 - [i7]Runcong Zhao, Lin Gui, Hanqi Yan, Yulan He:
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews. CoRR abs/2301.07183 (2023) - [i6]Hongjing Li, Hanqi Yan, Yanran Li, Li Qian, Yulan He, Lin Gui:
Distinguishability Calibration to In-Context Learning. CoRR abs/2302.06198 (2023) - [i5]Hanqi Yan, Lin Gui, Menghan Wang, Kun Zhang, Yulan He:
Explainable Recommender with Geometric Information Bottleneck. CoRR abs/2305.05331 (2023) - [i4]Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He:
The Mystery and Fascination of LLMs: A Comprehensive Survey on the Interpretation and Analysis of Emergent Abilities. CoRR abs/2311.00237 (2023) - 2022
- [j1]Hanqi Yan, Lin Gui, Yulan He:
Hierarchical Interpretation of Neural Text Classification. Comput. Linguistics 48(4): 987-1020 (2022) - [c4]Hanqi Yan, Lin Gui, Wenjie Li, Yulan He:
Addressing token uniformity in transformers via singular value transformation. UAI 2022: 2181-2191 - [e4]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-65-0 [contents] - [e3]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-64-3 [contents] - [e2]Hanqi Yan, Zonghan Yang, Sebastian Ruder, Xiaojun Wan:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Student Research Workshop, Online, November 20, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-56-8 [contents] - [e1]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-04-3 [contents] - [i3]Hanqi Yan, Lin Gui, Yulan He:
Hierarchical Interpretation of Neural Text Classification. CoRR abs/2202.09792 (2022) - [i2]Hanqi Yan, Lin Gui, Wenjie Li, Yulan He:
Addressing Token Uniformity in Transformers via Singular Value Transformation. CoRR abs/2208.11790 (2022) - 2021
- [c3]Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He:
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction. ACL/IJCNLP (1) 2021: 3364-3375 - [i1]Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He:
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction. CoRR abs/2106.03518 (2021) - 2020
- [c2]Yu Lei, Hongbin Pei, Hanqi Yan, Wenjie Li:
Reinforcement Learning based Recommendation with Graph Convolutional Q-network. SIGIR 2020: 1757-1760
2010 – 2019
- 2019
- [c1]Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun:
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification. EMNLP/IJCNLP (1) 2019: 5517-5526
Coauthor Index
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