Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance research paper by Meta, 2025
Meta · Nov 17, 2025 · Agents and evaluation · 4 citations · 140 upvotes · unverified
What it shows
Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse domains, but their training remains resource- and time-intensive, requiring massive compute power and careful orchestration of...
UnverifiedHugging Face's summary; not yet checked by hand.
More from Meta
All 34Other agents and evaluation papers
TopicAbout this paper
- Authors
- Shalini Maiti, Amar Budhiraja, Bhavul Gauri and 8 more
- arXiv
- 2511.13254 · PDF
- Venue
- arXiv.org
- Citations
- 4, 0 influential · Semantic Scholar
- Upvotes
- 140 · Hugging Face
- Code
- github.com/facebookresearch/llm_souping
- Lab
- Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 0Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 4Sep 25, 2026 |
| Sep 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.