Alignment Rationale for Natural Language Inference. - Zhongtao Jiang; Yuanzhe Zhang; Zhao Yang 004; Jun Zhao 001; Kang Liu 001 (ACL/IJCNLP (1), 2021)

The Logic Traps in Evaluating Post-hoc Interpretations. - Yiming Ju; Yuanzhe Zhang; Zhao Yang 004; Zhongtao Jiang; Kang Liu 001; Jun Zhao 001 (CoRR, 2021)

Logic Traps in Evaluating Attribution Scores. - Yiming Ju; Yuanzhe Zhang; Zhao Yang 004; Zhongtao Jiang; Kang Liu 001; Jun Zhao 001 (ACL (1), 2022)

Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. - Zhao Yang 004; Yuanzhe Zhang; Zhongtao Jiang; Yiming Ju; Jun Zhao 001; Kang Liu 001 (CCL, 2022)

Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. - Zhao Yang 004; Yuanzhe Zhang; Dianbo Sui; Cao Liu; Jun Zhao 001; Kang Liu 001 (EMNLP, 2023)

Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint. - Xiaowei Yuan; Zhao Yang 004; Yequan Wang; Shengping Liu; Jun Zhao 001; Kang Liu 001 (ACL (Findings), 2024)

MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. - Xiang Li; Shizhu He; Jiayu Wu; Zhao Yang 004; Yao Xu; Yang jun Jun; Haifeng Liu; Kang Liu 001; Jun Zhao 001 (LREC/COLING, 2024)

Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information. - Zecheng Wang; Chunshan Li; Zhao Yang 004; Qingbin Liu; Yanchao Hao; Xi Chen 003; Dianhui Chu; Dianbo Sui (LREC/COLING, 2024)

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging. - Deyuan Liu; Zhanyue Qin; Hairu Wang; Zhao Yang 004; Zecheng Wang; Fangying Rong; Qingbin Liu; Yanchao Hao; Bo Li; Xi Chen 003; Cunhang Fan; Zhao Lv; et al. (EMNLP, 2024)

Improving Zero-shot LLM Re-Ranker with Risk Minimization. - Xiaowei Yuan; Zhao Yang 004; Yequan Wang; Jun Zhao 001; Kang Liu 001 (EMNLP, 2024)

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging. - Deyuan Liu; Zhanyue Qin; Hairu Wang; Zhao Yang 004; Zecheng Wang; Fangying Rong; Qingbin Liu; Yanchao Hao; Xi Chen 003; Cunhang Fan; Zhao Lv; Zhiying Tu; et al. (CoRR, 2024)

Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. - Zhao Yang 004; Yuanzhe Zhang; Dianbo Sui; Yiming Ju; Jun Zhao 001; Kang Liu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Information bottleneck based knowledge selection for commonsense reasoning. - Zhao Yang 004; Yuanzhe Zhang; Pengfei Cao; Cao Liu; Jiansong Chen; Jun Zhao 001; Kang Liu 001 (Inf. Sci., 2024)

Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement. - Xiaowei Yuan; Zhao Yang 004; Ziyang Huang; Yequan Wang; Siqi Fan 001; Yiming Ju; Jun Zhao 001; Kang Liu 001 (ACL (1), 2025)

Probabilistic Uncertain Reward Model: A Natural Generalization of Bradley-Terry Reward Model. - Wangtao Sun; Xiang Cheng; Xing Yu; Haotian Xu; Zhao Yang 004; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)