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Jiahang Lin

ACL 2026×2代码评测与基准智能体与工具强化学习与后训练检索与知识
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一作贡献30
核心/参与5
方向广度10
合作网络3
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #4/15ACL 2026Poster· Natural Language Processing

O cto B ench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding

Deming Ding · Shichun Liu · Enhui Yang · Jiahang Lin · Ziying Chen · Shihan Dou · Honglin Guo · Weiyu Cheng · Pengyu Zhao · Chengjun Xiao · Qunhong Zeng · Qi Zhang · Xuanjing Huang · Qidi Xu · Tao Gui

摘要

Modern coding scaffolds turn LLMs into capable software agents, but their ability to follow scaffold-specified instructions remains under-examined, especially when constraints are heterogeneous and persist across interactions. To fill this gap, we introduce OctoBench, which benchmarks scaffold-aw...

代码评测与基准智能体与工具OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

MM - D oc- R 1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning

Jiahang Lin · Kai Hu · Binghai Wang · Yuhao Zhou · Zhiheng Xi · Honglin Guo · Shichun Liu · Junzhe Wang · Shihan Dou · Enyu Zhou · Hang Yan · Zhenhua Han · Tao Gui · Qi Zhang · Xuanjing Huang

摘要

Conventional Retrieval-Augmented Generation (RAG) systems often struggle with complex multi-hop queries over long documents due to their single-pass retrieval. We introduce MM-Doc-R1 , a novel framework that employs an agentic, vision-aware workflow to address long document visual question answer...

强化学习与后训练检索与知识多模态OpenReview 项目页

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