most citedLearning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.HC2025★ 2 cited

Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs

Abed Kareem Musaffar, Anand Gokhale, Sirui Zeng +4

As artificial intelligence (AI) assistants become more widely adopted in safety-critical domains, it becomes important to develop safeguards against potential failures or adversari…

cs.MA2025

ADL: A Declarative Language for Agent-Based Chatbots

Sirui Zeng, Xifeng Yan

There are numerous frameworks capable of creating and orchestrating agents to address complex tasks. However, most of them highly coupled Python programming with agent declaration,…

cs.CL2025

SOPBench: Evaluating Language Agents at Following Standard Operating Procedures and Constraints

Zekun Li, Shinda Huang, Jiangtian Wang +8

As language agents increasingly automate critical tasks, their ability to follow domain-specific standard operating procedures (SOPs), policies, and constraints when taking actions…