Inference-Time Scaling for Generalist Reward Modeling research paper by DeepSeek, 2025
DeepSeek · Apr 3, 2025 · Inference and efficiency · 249 citations · 59 upvotes · unverified
What it shows
Self-Principled Critique Tuning enhances pointwise generative reward modeling for large language models, improving scalability and quality compared to existing methods.
UnverifiedHugging Face's summary; not yet checked by hand.
More from DeepSeek
All 22Other inference and efficiency papers
TopicAbout this paper
- Authors
- Zijun Liu, Peiyi Wang, Runxin Xu and 5 more
- arXiv
- 2504.02495 · PDF
- Venue
- arXiv.org
- Citations
- 249, 27 influential · Semantic Scholar
- Upvotes
- 59 · Hugging Face
- Lab
- DeepSeek · on Companies
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 27Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 249Sep 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.