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627 papers · 45 labs

Jointly Reinforcing Diversity and Quality in Language Model Generations research paper by Meta, 2025

Meta · Training and scaling · Sep 2, 2025 · 92 citations · 25 upvotes · unverified

Read on arXiv

What it shows

DARLING, a diversity-aware reinforcement learning framework, enhances both the quality and diversity of large language model outputs across various tasks.

By Tianjian Li, Yiming Zhang, Ping Yu and 5 more · arXiv 2509.02534 · PDF · Code

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

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About this paper
Venue
arXiv.org
Citations
92, 17 influential · Semantic Scholar
Upvotes
25 · Hugging Face
Lab
Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

CitationsNov 2, 2026Citations rose from 87 to 92.
CitationsOct 12, 2026Citations rose from 85 to 87.
CitationsOct 5, 2026Influential citations rose from 16 to 17.
CitationsOct 5, 2026Citations rose from 79 to 85.
CitationsSep 28, 2026Citations rose from 78 to 79.
CitationsSep 25, 2026A first count of 16 influential citations.
CitationsSep 25, 2026A first count of 78 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.