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Aligning Large Language Models through Synthetic Feedback

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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cs.CL 3

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Olmo 3

cs.CL · 2025-12-15 · accept · novelty 6.0

Olmo 3 delivers fully open 7B and 32B language models with complete training artifacts, positioning the 32B variant as the strongest open thinking model released to date.

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Showing 3 of 3 citing papers.

  • JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment cs.CL · 2026-05-24 · unverdicted · none · ref 4

    JudgmentBench supplies the first public paired rubric and preference annotations from legal experts on the same LLM outputs, showing comparative judgments outperform rubrics in recovering quality orderings.

  • Olmo 3 cs.CL · 2025-12-15 · accept · none · ref 1

    Olmo 3 delivers fully open 7B and 32B language models with complete training artifacts, positioning the 32B variant as the strongest open thinking model released to date.

  • A Survey on Knowledge Distillation of Large Language Models cs.CL · 2024-02-20 · accept · none · ref 110

    A comprehensive survey of knowledge distillation for LLMs structured around algorithms, skill enhancement, and vertical applications, highlighting data augmentation as a key enabler.