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Ying Liu

ACL 2026×2IROS 2026推理对齐与偏好社会与人本强化学习与后训练
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0 一作 · 3 篇 · ACL 2026 / IROS 2026

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2026 顶会论文

3
作者位次 #5/7ACL 2026Poster· Natural Language Processing

SPAGB ias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models

Binxian Su · Haoye Lou · Shucheng Zhu · Weikang Wang · Ying Liu · Dong Yu · Pengyuan Liu

摘要

Large language models (LLMs) are being increasingly used in urban planning, but since gendered space theory highlights how gender hierarchies are embedded in spatial organization, there is concern that LLMs may reproduce or amplify such biases. We introduce SPAGBias — the first systematic framewo...

推理对齐与偏好社会与人本OpenReview 项目页
作者位次 #5/5ACL 2026Findings· Findings of ACL

Entropy-Aware Reshaping of Reinforcement Signals for Multi-Answer Reasoning

Zhi Li · Huidan Xu · Zhen Hu · Yali Du · Ying Liu

摘要

Reinforcement learning with verifiable rewards (RLVR) is a standard post-training paradigm for large language models (LLMs), typically relying on group-wise reward and advantage normalization for stability. In set-valued multi-answer tasks, where multiple outputs may be simultaneously correct, th...

强化学习与后训练推理对齐与偏好OpenReview 项目页

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