| 2026 | AAAI | Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score. | Zhanghao Hu, Qinglin Zhu, Siya Qi, Yulan He, Hanqi Yan, Lin Gui |
| 2026 | ACL | Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models. | Hanqi Yan, Xiangxiang Cui, Lu Yin, Jindong Gu, Paul Pu Liang, Yulan He, Yifei Wang |
| 2026 | ACL | AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior Monitor. | Shu Yang, Jingyu Hu, Tong Li, Hanqi Yan, Wenxuan Wang, Di Wang |
| 2025 | ACL | Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference. | Jiazheng Li, Hanqi Yan, Yulan He |
| 2025 | ACL | Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering. | Zhanghao Hu, Hanqi Yan, Qinglin Zhu, Zhenyi Shen, Yulan He, Lin Gui |
| 2025 | EMNLP | CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation. | Zhenyi Shen, Hanqi Yan, Linhai Zhang, Zhanghao Hu, Yali Du, Yulan He |
| 2025 | EMNLP | GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery. | Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He |
| 2025 | ICML | Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning. | Hanqi Yan, Linhai Zhang, Jiazheng Li, Zhenyi Shen, Yulan He |
| 2025 | ICML | Constrain Alignment with Sparse Autoencoders. | Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang |
| 2025 | ICML | Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration. | Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui |
| 2024 | ACL | Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models. | Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He |
| 2024 | ACL | Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning. | Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He |
| 2024 | EMNLP | Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems. | Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He |
| 2024 | EMNLP | Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. | Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He |
| 2024 | EMNLP | The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis. | Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He |
| 2023 | EACL | Distinguishability Calibration to In-Context Learning. | Hongjing Li, Hanqi Yan, Yanran Li, Li Qian, Yulan He, Lin Gui |
| 2022 | UAI | Addressing token uniformity in transformers via singular value transformation. | Hanqi Yan, Lin Gui, Wenjie Li, Yulan He |
| 2021 | ACL | Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction. | Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He |
| 2020 | SIGIR | Reinforcement Learning based Recommendation with Graph Convolutional Q-network. | Yu Lei, Hongbin Pei, Hanqi Yan, Wenjie Li |
| 2019 | EMNLP | LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification. | Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun |