Zhao Yang

18 papers A* 3Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement.
ACL (1)
Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu
2025 J jnl
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement.
CoRR
Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu
2025 J jnl
Probabilistic Uncertain Reward Model: A Natural Generalization of Bradley-Terry Reward Model.
CoRR
Wangtao Sun, Xiang Cheng, Xing Yu, Haotian Xu, Zhao Yang, Shizhu He, Jun Zhao, Kang Liu
2024 — conf
Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information.
LREC/COLING
Zecheng Wang, Chunshan Li, Zhao Yang, Qingbin Liu, Yanchao Hao, Xi Chen, Dianhui Chu, Dianbo Sui
2024 — conf
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint.
ACL (Findings)
Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu
2024 J jnl
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint.
CoRR
Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu
2024 J jnl
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu
2024 A* conf
Improving Zero-shot LLM Re-Ranker with Risk Minimization.
EMNLP
Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu
2024 J jnl
Improving Zero-shot LLM Re-Ranker with Risk Minimization.
CoRR
Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu
2024 J jnl
Information bottleneck based knowledge selection for commonsense reasoning.
Inf. Sci.
Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu
2024 — conf
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts.
LREC/COLING
Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao
2024 A* conf
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging.
EMNLP
Deyuan Liu, Zhanyue Qin, Hairu Wang, Zhao Yang, Zecheng Wang, Fangying Rong, Qingbin Liu, Yanchao Hao, Bo Li, Xi Chen, Cunhang Fan, Zhao Lv, Dianhui Chu, Zhiying Tu, Dianbo Sui
2024 J jnl
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging.
CoRR
Deyuan Liu, Zhanyue Qin, Hairu Wang, Zhao Yang, Zecheng Wang, Fangying Rong, Qingbin Liu, Yanchao Hao, Xi Chen, Cunhang Fan, Zhao Lv, Zhiying Tu, Dianhui Chu, Dianbo Sui
2023 A* conf
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process.
EMNLP
Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu
2022 — conf
Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack.
CCL
Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu
2022 — conf
Logic Traps in Evaluating Attribution Scores.
ACL (1)
Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao
2021 — conf
Alignment Rationale for Natural Language Inference.
ACL/IJCNLP (1)
Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu
2021 J jnl
The Logic Traps in Evaluating Post-hoc Interpretations.
CoRR
Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao