TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space — mentioned by sanxiyn

Tue, 20 Aug 2024 00:08:19 GMT

I didn't mean to suggest it as a competition to the method presented (LSR: latent space readout). It is old after all. LSR's use in evaluator LLM and working with small samples (because it works with linear direction) does seem novel and useful to me. An advantage of being aware of early papers is that it accumulates citations so you can often find good works in reverse citations. I had a brief look and the following seems interesting: GRATH: Gradual Self-Truthifying for Large Language Models https://arxiv.org/abs/2401.12292 TruthX: Alleviating Hallucinations by Editing Large Language Models…

Paper and discussion history. A mention is not an endorsement.

TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space · HackerPapers discussions

TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space — mentioned by sanxiyn