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When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs research paper by Amazon, 2025

Amazon · Reasoning · Oct 8, 2025 · 4 citations · 49 upvotes · unverified

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What it shows

Thought templates enhance long-context language models by structuring evidence combination and guiding multi-hop inference, leading to consistent performance improvements across various benchmarks.

By Soyeong Jeong, Taehee Jung, Sung Ju Hwang and 2 more · arXiv 2510.07499 · PDF

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

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About this paper
Venue
Annual Meeting of the Association for Computational Linguistics
Citations
4, 0 influential · Semantic Scholar
Upvotes
49 · Hugging Face
Lab
Amazon · on Companies · on Quarterly · on Paydays

Changes

CitationsOct 5, 2026Citations rose from 3 to 4.
CitationsSep 25, 2026A first count of 0 influential citations.
CitationsSep 25, 2026A first count of 3 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.