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From the 1 of 15 linked papers with an AI index.

collaborators

15 papers

q-bio.QM2026

A Blind Spot in Alignment: Quantifying Biosecurity Risks in Large Language Models

Shu Quan, Tianfang Hao, Sitong Fang +8

Large Language Models (LLMs) are accelerating biological research, yet this same capability poses a critical biosecurity threat: models that assist in protein engineering can equal…

cs.CV2026

Technical Report on the CVPR 2026@AdvML Workshop Challenge

Tianyuan Zhang, Zonglei Jing, Jiangfan Liu +47

The paper reports on the CVPR 2026@AdvML Workshop Challenge, which evaluated adversarial attacks on multimodal vision‑language agents for autonomous driving using multi‑view visual…

cs.RO2026

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models

Borong Zhang, Jiahao Li, Jiachen Shen +8

While Vision-Language-Action models (VLAs) are rapidly advancing toward generalist robot policies, quantitatively characterizing their capability boundaries and failure modes remai…

cs.AI2026

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving

Chuxue Cao, Mengze Li, Juntao Dai +7

Large language models (LLMs) have shown promising first-order logic (FOL) reasoning capabilities with applications in various areas. However, their effectiveness in complex mathema…

cs.AI2026

When Slower Isn't Truer: Inverse Scaling Law of Truthfulness in Multimodal Reasoning

Sitong Fang, Wenjing Cao, Jiahao Li +7

Reasoning models have attracted increasing attention for their ability to tackle complex tasks, embodying the System II (slow thinking) paradigm in contrast to System I (fast, intu…

cs.CV2026

What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning

Yujin Zhou, Pengcheng Wen, Jiale Chen +6

The rapid advancement of Large Vision Language Models (LVLMs) has demonstrated excellent abilities in various visual tasks. Building upon these developments, the thinking with imag…