Apr 1, 2024 · This paper proposes a Prior Constraints-based Reward Model (namely PCRM) training method to mitigate this problem.

Sep 29, 2024 · This paper proposes a Prior Constraints-based Reward Model (PCRM) training method to mitigate this problem.

Reinforcement learning with human feedback for aligning large language models (LLMs) trains a reward model typically using ranking loss with comparison pairs.

PCRM incorporates prior constraints-specifically, length ratio and cosine similarity between outputs of each comparison pair-during reward model training to ...

Aug 11, 2024 · The refined dataset is used to train a token-level reward model, which is then used for training our fine-grained. Proximal Policy Optimization ...

Apr 18, 2024 · In this work, we evaluate a simple approach for zero-shot cross-lingual alignment, where a reward model is trained on preference data in one source language.

Aug 11, 2024 · Prior constraints-based reward model training for aligning large language models. arXiv preprint. arXiv:2404.00978. 11399. Page 12. A ...

The authors provide privacy-preserving technique for fine-tuning large language models. They apply differentiall-private SGD (DP-SGD) to the PPO reinforcement ...

RLHF involves training a reward model to evaluate responses and optimizing the language model to prioritize these high scores. This phase addresses the ...

Jul 18, 2024 · This blog delves into these methods, comparing their mechanisms, advantages, and limitations, and provides practical implementation examples.