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CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning research paper by Apple, 2025

Apple · Nov 24, 2025 · Reasoning · 11 citations · 25 upvotes · unverified

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What it shows

CLaRa enhances retrieval-augmented generation by introducing unified embedding-based compression and joint optimization, achieving state-of-the-art performance in QA benchmarks.

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

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About this paper
Authors
Jie He, Richard He Bai, Sinead Williamson and 3 more
arXiv
2511.18659 · PDF
Venue
arXiv.org
Citations
11, 0 influential · Semantic Scholar
Upvotes
25 · Hugging Face
Code
github.com/apple/ml-clara
Lab
Apple · on Companies · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 11Sep 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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