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Shiping Yang

ACL 2026×2推理对齐与偏好强化学习与后训练检索与知识评测与基准
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1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/11ACL 2026Poster· Natural Language Processing

Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation

Hengyuan Zhang · Shiping Yang · Xiao Liang · Chenming Shang · Yuxuan Jiang · Chaofan Tao · Jing Xiong · Hayden Kwok-Hay So · Ruobing Xie · Angel X. Chang · Ngai Wong

摘要

Training student models on synthetic data generated by strong teacher models is a promising approach to distilling the capabilities of teachers. However, existing studies reveal that stronger models are not always optimal teachers, suggesting a mismatch between the teacher’s output and the studen...

推理对齐与偏好强化学习与后训练OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data

Shiping Yang · Jie Wu · Wenbiao Ding · Ning Wu · Shining Liang · Ming Gong · Hongzhi Li · Hengyuan Zhang · Angel X. Chang · Dongmei Zhang

摘要

Robustness has become a critical attribute for the deployment of RAG systems in real-world applications. Existing research focuses on robustness to explicit noise (e.g., document semantics) but overlooks implicit noise (spurious features). Moreover, previous studies on spurious features in LLMs a...

检索与知识评测与基准代码OpenReview 项目页

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