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Songyang Han

ACL 2026×2评测与基准强化学习与后训练推理代码智能体与工具
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #3/8ACL 2026Poster· Natural Language Processing

Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization

Yifeng Ding · Hung Le · Songyang Han · Kangrui Ruan · Zhenghui Jin · Varun Kumar · Zijian Wang · Anoop Deoras

摘要

Training Large Language Models (LLMs) for multi-turn Tool-Integrated Reasoning (TIR) – where models iteratively reason, generate code, and verify through execution – remains challenging for existing reinforcement learning (RL) approaches. Current RL methods, exemplified by Group Relative Policy O...

强化学习与后训练推理评测与基准OpenReview 项目页
作者位次 #4/8ACL 2026Findings· Findings of ACL

C ode S cout: Contextual Problem Statement Enhancement for Software Agents

Manan Suri · Xiangci Li · Mehdi Shojaie · Songyang Han · Chao-Chun Hsu · Shweta Garg · Aniket Anand Deshmukh · Varun Kumar

摘要

Current AI-powered code assistance tools often struggle with ambiguous problem statements that lack sufficient task context and requirements specification. Recent analysis of software engineering agents reveals that failures on such ambiguous requests are highly correlated with longer trajectorie...

代码智能体与工具评测与基准OpenReview 项目页

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