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Tianle Gu

ACL 2026×2评测与基准可解释性多模态安全
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1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/6ACL 2026Poster· Natural Language Processing

SCAN : Structured Capability Assessment and Navigation for LLM s

Zongqi Wang · Tianle Gu · Chen Gong · Xin Tian · Siqi Bao · Yujiu Yang

摘要

Evaluating Large Language Models (LLMs) has become increasingly important, with automatic evaluation benchmarks gaining prominence as alternatives to human evaluation. While existing research has focused on approximating model rankings, such benchmarks fail to provide users and developers with a...

评测与基准可解释性多模态OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

Probing the Safety Robustness of LLM s in Latent Space

Tianle Gu · Kexin Huang · Zongqi Wang · Yixu Wang · Jie Li · Xin Wang · Yang Yao · Yujiu Yang · Yan Teng · Yingchun Wang

摘要

Safety alignment is a fundamental prerequisite for building trustworthy artificial general intelligence. Despite substantial progress in safety alignment techniques, empirical evidence shows that aligned large language models can still produce unsafe responses under minor internal perturbations,...

可解释性安全评测与基准OpenReview 项目页

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