56 citations · 84 across the 30 of their papers we have counts for
3 papers · 1 filter
DUET: Co-Evolving Solver and Grader Agents
Fengyu Gao, Sourav Pal, Austin Z. Henley +2
Agentic workflows are increasingly used across domains such as technology, finance, and enterprise operations. As these agents become more widely deployed, continually improving th…
SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement
Srishti Gautam, Arjun Radhakrishna, Sumit Gulwani
Skill documents, structured natural-language instructions that guide Large Language Model (LLM) agents, are critical to modern agent frameworks, yet LLMs struggle to write skills t…
An Empirical Investigation of Robustness in Large Language Models under Tabular Distortions
Avik Dutta, Harshit Nigam, Hosein Hasanbeig +2
We investigate how large language models (LLMs) fail when tabular data in an otherwise canonical representation is subjected to semantic and structural distortions. Our findings re…