most cited"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas

2 citations · 2 across the 3 of their papers we have counts for

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cs.CR2026

BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure

Shenghan Zheng, Zonglin Di, Yimin Liu +19

LM-agent benchmarks increasingly function as interactive evaluation infrastructure. Agents observe state, call tools, modify workspaces, submit artifacts, and receive rewards from…

cs.CR2025

HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities

Xiaoxue Ren, Penghao Jiang, Kaixin Li +6

Web applications are prime targets for cyberattacks as gateways to critical services and sensitive data. Traditional penetration testing is costly and expertise-intensive, making i…