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update-paper-index

Add or review a paper entry in TRL's paper index. Use when a PR implements a method, algorithm, or training approach from a research paper, or when reviewing such a PR.

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  • SKILL.md1.6 KB

SKILL.md(原文)

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Update the paper index

Any PR that implements a method, algorithm, or training approach from a research paper must add a corresponding subsection to docs/source/paper_index.md. When reviewing such a PR, check that the file was updated.

Entry format

The file is organized as one ## section per method family (usually one per trainer), each holding ### subsections, one per paper.

Each entry contains:

  1. The paper title as the ### heading.
  2. A paper link line, using the Hugging Face paper page (same ID as arXiv), never an arxiv.org link:
    **📜 Paper**: https://huggingface.co/papers/<id>
    
  3. A few sentences on what the paper introduces and how it maps to TRL.
  4. A Python snippet showing the TRL config that reproduces the paper's setting, with the paper's hyperparameters quoted in comments:
    from trl import GRPOConfig, GRPOTrainer
    
    training_args = GRPOConfig(
        beta=0.001,  # "the KL coefficient to 0.001"
        num_generations=16,  # "For each question, we sample 16 outputs..."
    )
    
    When the paper doesn't specify hyperparameters, say so in a comment rather than inventing values.

Placement

  • If the paper belongs to an existing method family, add it under that ## section.
  • If it introduces a new trainer or family, add a new ## section with a one-line pointer to the trainer, e.g. Papers relating to the [GRPOTrainer].

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概要と使いどころ

Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training. Use when writing or debugging training code with the TRL Python API or the trl CLI.

日本語の概要は準備中です。原文の説明を表示しています。

huggingface/trl1.9万2026年10月12日 更新

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