3 papers
cs.CL2025
TheMCPCompany: Creating General-purpose Agents with Task-specific Tools
Reza Esfandiarpoor, Vishwas Suryanarayanan, Stephen H. Bach +2
Since the introduction of the Model Context Protocol (MCP), the number of available tools for Large Language Models (LLMs) has increased significantly. These task-specific tool set…
cs.LG2025
VerificAgent: Domain-Specific Memory Verification for Scalable Oversight of Aligned Computer-Use Agents
Thong Q. Nguyen, Shubhang Desai, Raja Hasnain Anwar +3
Continual memory augmentation lets computer-using agents (CUAs) learn from prior interactions, but unvetted memories can encode domain-inappropriate or unsafe heuristics--spurious…
cs.CL2025
Local Prompt Optimization
Yash Jain, Vishal Chowdhary
In recent years, the use of prompts to guide the output of Large Language Models have increased dramatically. However, even the best of experts struggle to choose the correct words…