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Yibo Peng

ACL 2026×2ICLR 2026智能体与工具社会与人本推理安全评测与基准
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2 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
一作ACL 2026Poster· Natural Language Processing

When "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?

Yibo Peng · James Song · Lei Li · Xinyu Yang · Mihai Christodorescu · Ravi Mangal · Corina S. Pasareanu · Haizhong Zheng · Beidi Chen

摘要

Code agents are increasingly trusted to autonomously fix bugs on platforms such as GitHub, yet their security evaluation focuses almost exclusively on functional correctness. In this paper, we reveal a novel type of threat to real-world code-agents: functionally correct yet vulnerable (FCV) patch...

安全智能体与工具评测与基准OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

S imple OCR : Rendering Visual Questions to Teach MLLM s to Read

Yibo Peng · Peng Xia · Ding Zhong · Kaide Zeng · Siwei Han · Yiyang Zhou · Jiaqi Liu · Ruiyi Zhang · Huaxiu Yao

摘要

Despite the rapid advancements in Multimodal Large Language Models (MLLMs), a critical question regarding their visual grounding mechanism remains unanswered: do these models genuinely read text embedded in images, or do they merely rely on parametric shortcuts in the text prompt? In this work, w...

多模态强化学习与后训练可解释性OpenReview 项目页

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