Yang Zhao

According to our database, Yang Zhao authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

GR-Ben: A General Reasoning Benchmark for Evaluating Process Reward Models.

Zhouhao Sun, Xuan Zhang, Xiao Ding, Bibo Cai, Li Du, Kai Xiong, Xinran Dai, Fei Zhang, Weidi Tang, Zhiyuan Kan, Yang Zhao, Bing Qin, Ting Liu

CoRR, May, 2026

MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization.

Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration.

Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing.

Zhouhao Sun, Zhiyuan Kan, Xiao Ding, Li Du, Yang Zhao, Bing Qin, Ting Liu

CoRR, May, 2025

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection.

Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu

CoRR, May, 2025

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models.

Zhouhao Sun, Xiao Ding, Li Du, Yunpeng Xu, Yixuan Ma, Yang Zhao, Bing Qin, Ting Liu

CoRR, April, 2025

Think straight or think again? Continual joint learning of deduction, abduction and induction.

Kai Xiong, Xiao Ding, Yixin Cao, Yang Zhao, Ting Liu, Bing Qin

Neural Networks, 2025

Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.

Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu

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

Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns.

Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin

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

2024

Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads.

Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin

CoRR, 2024

Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning.

Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin

CoRR, 2024

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning.

Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qin

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

Causal-Guided Active Learning for Debiasing Large Language Models.

Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024