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cs.AI2026
REDAgentBench: Executable Red Teaming and Faithful Measurement of LLM Agent Systems
Zixing Chen, Xingyuan Liu, Jie Zhu +6
Large language model (LLM) agents combine language-based reasoning with external tools to perform complex tasks. Adversarial inputs can exploit interactions between the agent and i…
cs.AI2025★ 1 cited
DianJin-R1: Evaluating and Enhancing Financial Reasoning in Large Language Models
Jie Zhu, Qian Chen, Huaixia Dou +4
Effective reasoning remains a core challenge for large language models (LLMs) in the financial domain, where tasks often require domain-specific knowledge, precise numerical calcul…