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cs.LG2025★ 1 cited
Teaming LLMs to Detect and Mitigate Hallucinations
Demian Till, John Smeaton, Peter Haubrick +3
Recent work has demonstrated state-of-the-art results in large language model (LLM) hallucination detection and mitigation through consistency-based approaches which involve aggreg…
cs.LG2025
Grokking vs. Learning: Same Features, Different Encodings
Dmitry Manning-Coe, Jacopo Gliozzi, Alexander G. Stapleton +4
Grokking typically achieves similar loss to ordinary, "steady", learning. We ask whether these different learning paths - grokking versus ordinary training - lead to fundamental di…