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"Prismatic Synthesis: Gradient-based Data Diversification Boosts ..."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Jaehun Jung et al. (2025)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2026-06-26

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  - electronic edition @ nips.cc (open access)
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  dblp key:
  - conf/nips/JungHLHAPPSCC25
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  persistent URL:
  - https://dblp.org/rec/conf/nips/JungHLHAPPSCC25
Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi:
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning. NeurIPS 2025

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last updated on 2026-06-26 16:42 CEST by the dblp team

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