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Dengpan Ye

ACL 2026×2ICML 2026安全对齐与偏好多模态代码推理
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0 一作 · 3 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

3
作者位次 #7/9ACL 2026Poster· Natural Language Processing

O mni- I 2 C : A Holistic Benchmark for High-Fidelity Image-to-Code Generation

Jiawei Zhou · Chi Zhang · Xiang Feng · Qiming ZHANG · Haibo Qiu · Lihuo He · Dengpan Ye · Xinbo Gao · Jing Zhang

摘要

We present Omni-I2C, a comprehensive benchmark designed to evaluate the capability of Large Multimodal Models (LMMs) in converting complex, structured digital graphics into executable code. We argue that this task represents a non-trivial challenge for the current generation of LMMs: it demands a...

多模态代码推理OpenReview 项目页
作者位次 #5/7ACL 2026Poster· Natural Language Processing

SHARP : Self-adaptive Harmful Category-aware Prompt Generation for Black-box Jailbreaking

Yingjie Xue · Xingyou Xia · Jun Zhang · Yunbo Cao · Dengpan Ye · Guotong Geng · Fei Li

摘要

Large Language Models (LLMs) have been widely applied in various domains such as education and healthcare, making safety assurance crucial. Jailbreak attacks, a method used in red-teaming, can help evaluate and improve the defensive strategies of LLMs. However, existing jailbreak methods often ov...

安全对齐与偏好强化学习与后训练OpenReview 项目页

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