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CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning research paper by Apple, 2026

Apple · Mar 1, 2026 · Reasoning · 2 citations · 57 upvotes · unverified

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What it shows

A synthetic reasoning dataset called CHIMERA is introduced to overcome data-centric challenges in training large language models for cross-domain reasoning, achieving performance comparable to much larger models.

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

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About this paper
Authors
Xinyu Zhu, Yihao Feng, Yanchao Sun and 5 more
arXiv
2603.00889 · PDF
Venue
arXiv.org
Citations
2, 0 influential · Semantic Scholar
Upvotes
57 · Hugging Face
Lab
Apple · on Companies · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 2Sep 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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