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Adaptive Multi-Agent Response Refinement in Conversational Systems research paper by Amazon, 2025

Amazon · Nov 11, 2025 · Agents and evaluation · 3 citations · 42 upvotes · unverified

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What it shows

A multi-agent framework enhances conversational quality by refining responses through agents responsible for factuality, personalization, and coherence, outperforming existing methods on challenging datasets.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Soyeong Jeong, Aparna Elangovan, Emine Yilmaz and 1 more
arXiv
2511.08319 · PDF
Venue
LaCATODA@AAAI
Citations
3, 0 influential · Semantic Scholar
Upvotes
42 · Hugging Face
Lab
Amazon · on Companies · on Quarterly · on Paydays

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 3Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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