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ORCIDZhao Yang 0004
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Laboratory of Cognition and Decision Intelligence for Complex Systems, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
Other persons with the same name
- Zhao Yang — disambiguation page
- Zhao Yang 0001
![[0000-0003-4688-1395]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4688-1395")
— Guangzhou University, Guangzhou, China - Zhao Yang 0002 — University of Oxford, UK
- Zhao Yang 0003 — LIACS, Leiden University, Leiden, The Netherlands
- Zhao Yang 0005 — Chang'an University, School of Future Transportation, Xi'an, China
- Zhao Yang 0006 — Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China
- Zhao Yang 0007 — Shaanxi University of Technology, School of Mathematics and Computer Science, Hanzhong, China (and 1 more)
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2020 – today
- 2025
[i6]Wangtao Sun, Xiang Cheng, Xing Yu, Haotian Xu, Zhao Yang, Shizhu He, Jun Zhao, Kang Liu:
Probabilistic Uncertain Reward Model: A Natural Generalization of Bradley-Terry Reward Model. CoRR abs/2503.22480 (2025)- [i5]Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu:
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement. CoRR abs/2504.15630 (2025) - 2024
- [j2]Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Information bottleneck based knowledge selection for commonsense reasoning. Inf. Sci. 660: 120134 (2024) - [j1]Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu:
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(2): 32:1-32:19 (2024) - [c9]Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu:
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint. ACL (Findings) 2024: 3903-3922 - [c8]Zecheng Wang, Chunshan Li, Zhao Yang, Qingbin Liu, Yanchao Hao, Xi Chen, Dianhui Chu, Dianbo Sui:
Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information. LREC/COLING 2024: 893-903 - [c7]Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao:
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. LREC/COLING 2024: 11475-11485 - [c6]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:
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging. EMNLP 2024: 17817-17829 - [c5]Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu:
Improving Zero-shot LLM Re-Ranker with Risk Minimization. EMNLP 2024: 17967-17983 - [i4]Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu:
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint. CoRR abs/2402.11893 (2024) - [i3]Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu:
Improving Zero-shot LLM Re-Ranker with Risk Minimization. CoRR abs/2406.13331 (2024) - [i2]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:
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging. CoRR abs/2406.16330 (2024) - 2023
- [c4]Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu:
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. EMNLP 2023: 5443-5456 - 2022
- [c3]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
Logic Traps in Evaluating Attribution Scores. ACL (1) 2022: 5911-5922 - [c2]Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu:
Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. CCL 2022: 281-297 - 2021
- [c1]Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu:
Alignment Rationale for Natural Language Inference. ACL/IJCNLP (1) 2021: 5372-5387 - [i1]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
The Logic Traps in Evaluating Post-hoc Interpretations. CoRR abs/2109.05463 (2021)
Coauthor Index
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