3 papers
cs.CL2026
ACL-Verbatim: hallucination-free question answering for research
Gábor Recski, Szilveszter Tóth, Nadia Verdha +2
Academic researchers need efficient and reliable methods for collecting high-quality information from trusted sources, but modern tools for AI-assisted research still suffer from t…
cs.SE2026
Squeez: Task-Conditioned Tool-Output Pruning for Coding Agents
Ãdám Kovács
Coding agents repeatedly consume long tool observations even though only a small fraction of each observation matters for the next step. We study task-conditioned tool-output pruni…
cs.CL2025
LettuceDetect: A Hallucination Detection Framework for RAG Applications
Ãdám Kovács, Gábor Recski
Retrieval Augmented Generation (RAG) systems remain vulnerable to hallucinated answers despite incorporating external knowledge sources. We present LettuceDetect a framework that a…