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Hanqi Yan (颜寒祺)
Title
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Cited by
Year
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
532021
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
372020
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
302019
Hierarchical Interpretation of Neural Text Classification
H Yan, L Gui, Y He
Computational Linguistics, 2022
142022
Addressing token uniformity in transformers via singular value transformation
H Yan, L Gui, W Li, Y He
Uncertainty in artificial intelligence, 2181-2191, 2022
122022
Distinguishability Calibration to In-Context Learning
H Yan, H Li, Y Li, L Qian, Y He, L Gui
EACL, 2023
4*2023
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
32024
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
R Zhao, L Gui, H Yan, Y He
TACL, 2023
32023
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
22024
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
22024
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
22023
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
12024
Explainable Recommender with Geometric Information Bottleneck
H Yan, L Gui, M Wang, K Zhang, Y He
IEEE Transactions on Knowledge and Data Engineering, 2024
12024
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
Addressing Token Uniformity in Transformers via Singular Value Transformation (Supplementary Material)
H Yan, L Gui, W Li, Y He
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Articles 1–15