activity
20242026
most citedSORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal

6 citations · 14 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.CR2025

Best Practices for Biorisk Evaluations on Open-Weight Bio-Foundation Models

Boyi Wei, Zora Che, Nathaniel Li +10

Open-weight bio-foundation models present a dual-use dilemma. While holding great promise for accelerating scientific research and drug development, they could also enable bad acto…

cs.AI2025

Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation

Sayash Kapoor, Benedikt Stroebl, Peter Kirgis +28

AI agents have been developed for complex real-world tasks from coding to customer service. But AI agent evaluations suffer from many challenges that undermine our understanding of…

cs.CL2025

Scaling Latent Reasoning via Looped Language Models

Rui-Jie Zhu, Zixuan Wang, Kai Hua +30

Modern LLMs are trained to "think" primarily via explicit text generation, such as chain-of-thought (CoT), which defers reasoning to post-training and under-leverages pre-training…

cs.AI2025★ 1 cited

Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents

Shuai Shao, Qihan Ren, Chen Qian +8

Advances in Large Language Models (LLMs) have enabled a new class of self-evolving agents that autonomously improve through interaction with the environment, demonstrating strong c…

cs.CR2025

Dynamic Risk Assessments for Offensive Cybersecurity Agents

Boyi Wei, Benedikt Stroebl, Jiacen Xu +3

Foundation models are increasingly becoming better autonomous programmers, raising the prospect that they could also automate dangerous offensive cyber-operations. Current frontier…