Sieve and Sage: Efficient distraction filtering for reliable RALM abstention
Read the original at arxiv.org→arXiv:2609.35794v1 Announce Type: new Abstract: Just as Socrates recognized the limits of his own knowledge, Retrieval-Augmented Language Models (RALMs) should learn to abstain when the retrieved evidence cannot...
Original headline: "Sieve and Sage: Efficient Distraction Filtering for Reliable RALM Abstention"
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- Oct 1, 04:00 UTC arXiv cs.CL lead source Sieve and Sage: Efficient Distraction Filtering for Reliable RALM Abstention