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Liang Zhang

AAAI 2026×4KDD 2026×3ACL 2026INFOCOM 2026NeurIPS 2026VLDB 2026检索与知识强化学习与后训练效率与系统多模态推理
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0 一作 · 11 篇 · AAAI 2026 / KDD 2026 / ACL 2026 / INFOCOM 2026 / NeurIPS 2026 / VLDB 2026

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2026 顶会论文

11
作者位次 #2/2NeurIPS 2026Poster

Ask, Answer, and Detect: Role-Playing LLMs for Personality Detection with Question-Conditioned Mixture-of-Experts

Yifan Lyu · Liang Zhang

效率与系统OpenReview
作者位次 #2/2ACL 2026Findings· Findings of ACL

From Implicit to Explicit: Token-Efficient Logical Supervision for Mathematical Reasoning in LLM s

Shaojie Wang · Liang Zhang

摘要

Recent studies reveal that large language models (LLMs) exhibit limited logical reasoning abilities in mathematical problem-solving, instead often relying on pattern-matching and memorization. We systematically analyze this limitation, focusing on logical relationship understanding, which is a co...

推理多模态强化学习与后训练OpenReview 项目页
作者位次 #4/4AAAI 2026Poster· Artificial Intelligence

FDC-Ground: Improving GRPO for GUI Grounding via Exponential Rewards and Fact-Aligned Pruning

Xiangjian Zeng · Wenjing Li · Qingqiang Wu · Liang Zhang

智能体与工具对齐与偏好强化学习与后训练OpenReview

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