Zhao Yang

According to our database, Zhao Yang authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Probabilistic Uncertain Reward Model: A Natural Generalization of Bradley-Terry Reward Model.

Wangtao Sun, Xiang Cheng, Xing Yu, Haotian Xu, Zhao Yang, Shizhu He, Jun Zhao, Kang Liu

CoRR, March, 2025

Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement.

Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Information bottleneck based knowledge selection for commonsense reasoning.

Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu

Inf. Sci., March, 2024

Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression.

Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu

ACM Trans. Asian Low Resour. Lang. Inf. Process., February, 2024

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging.

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

CoRR, 2024

Improving Zero-shot LLM Re-Ranker with Risk Minimization.

Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information.

Zecheng Wang, Chunshan Li, Zhao Yang, Qingbin Liu, Yanchao Hao, Xi Chen, Dianhui Chu, Dianbo Sui

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint.

Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process.

Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack.

Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu

Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

Logic Traps in Evaluating Attribution Scores.

Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

The Logic Traps in Evaluating Post-hoc Interpretations.

Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao

CoRR, 2021

Alignment Rationale for Natural Language Inference.

Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021