| Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction H Yan, L Gui, G Pergola, Y He ACL2021 main conference, Oral, 2021 | 54 | 2021 |
| Reinforcement learning based recommendation with graph convolutional q-network Y Lei, H Pei, H Yan, W Li Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 38 | 2020 |
| LexicalAT: Lexical-based adversarial reinforcement training for robust sentiment classification J Xu, L Zhao, H Yan, Q Zeng, Y Liang, X Sun Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 31 | 2019 |
| Hierarchical Interpretation of Neural Text Classification H Yan, L Gui, Y He Computational Linguistics, 2022 | 15 | 2022 |
| Addressing token uniformity in transformers via singular value transformation H Yan, L Gui, W Li, Y He Uncertainty in artificial intelligence, 2181-2191, 2022 | 12 | 2022 |
| Distinguishability Calibration to In-Context Learning H Yan, H Li, Y Li, L Qian, Y He, L Gui EACL, 2023 | 5* | 2023 |
| Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models Y Xiang, H Yan, L Gui, Y He arXiv preprint arXiv:2402.15637, 2024 | 3 | 2024 |
| Counterfactual generation with identifiability guarantees H Yan, L Kong, L Gui, Y Chi, E Xing, Y He, K Zhang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Tracking Brand-Associated Polarity-Bearing Topics in User Reviews R Zhao, L Gui, H Yan, Y He TACL, 2023 | 3 | 2023 |
| The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis Y Zhou, J Li, Y Xiang, H Yan, L Gui, Y He Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 2 | 2024 |
| Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning H Yan, Q Zhu, X Wang, L Gui, Y He arXiv preprint arXiv:2402.14963, 2024 | 2 | 2024 |
| The Mystery and Fascination of LLMs: A Comprehensive Survey on the Interpretation and Analysis of Emergent Abilities Y Zhou, J Li, Y Xiang, H Yan, L Gui, Y He arXiv preprint arXiv:2311.00237, 2023 | 2 | 2023 |
| Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective H Yan, Y Xiang, G Chen, Y Wang, L Gui, Y He https://arxiv.org/pdf/2406.17969, 2024 | 1 | 2024 |
| Explainable Recommender with Geometric Information Bottleneck H Yan, L Gui, M Wang, K Zhang, Y He IEEE Transactions on Knowledge and Data Engineering, 2024 | 1 | 2024 |
| Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems IL Da Silva, H Yan, L Gui, Y He arXiv preprint arXiv:2406.18245, 2024 | | 2024 |
| The Multi-faceted Monosemanticity in Multimodal Representations H Yan, Y He, Y Wang Workshop on Responsibly Building the Next Generation of Multimodal …, 0 | | |
| Addressing Token Uniformity in Transformers via Singular Value Transformation (Supplementary Material) H Yan, L Gui, W Li, Y He | | |
Lin GuiAssistant Professor, King's College LondonVerified email at kcl.ac.uk
