3 papers
cs.SE2026
UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents
Dolly Sah, Tanmay Sah, Harshul Jain +1
Tool-using AI agents are increasingly deployed across enterprise software systems, yet widely used benchmarks primarily evaluate nominal task completion, conflating baseline planni…
cs.AI2026
EvoUndo: Recoverability-Constrained Self-Evolution for LLM Agent Harnesses
Tanmay Sah, Dolly Sah, Harshul Jain +1
LLM agents increasingly modify their own prompts, tools, middleware, resources, and execution harnesses at runtime. Such self-evolution can improve capability, but a successful mut…
cs.CR2026
The Verifier Tax: Horizon Dependent Safety Success Tradeoffs in Tool Using LLM Agents
Tanmay Sah, Vishal Srivastava, Dolly Sah +1
We study how runtime enforcement against unsafe actions affects end-to-end task performance in multi-step tool using large language model (LLM) agents. Using tau-bench across Airli…