Aug 21, 2024 · CLoud reward models operate by first generating a natural language critique of the assistant's response that is then used to predict a scalar reward for the ...

Critique-out-Loud reward models are reward models that can reason explicitly about the quality of an input through producing Chain-of-Thought like critiques ...

Aug 21, 2024 · We introduce Critique-out-Loud (CLoud) reward models: reward models that are trained to explicitly reason about the quality of responses before ...

Sep 5, 2024 · Critique-out-Loud Reward Models updated Sep 5. Paper: https://arxiv.org/abs/2408.11791 | Code: https://github.com/zankner/CLoud

Aug 22, 2024 · This technique, called Critique-out-Loud (CLoud) reward models, creates natural language critiques of responses and then predicts a scalar ...

Aug 25, 2024 · These models generate a detailed critique of how well an assistant's response answers a user's query before producing a scalar reward for the ...

Aug 22, 2024 · Excited to announce our new work: Critique-out-Loud (CLoud) reward models. CLoud reward models first produce a chain of thought critique of ...

Aug 21, 2024 · The paper introduces Critique-out-Loud (CLoud) reward models, which enhance traditional reward models used in reinforcement learning from human ...

Aug 21, 2024 · This paper introduces a new approach called "Critique-out-Loud Reward Models" (COLRM) for training reward models.

The Critique-out-Loud (CLoud) model, proposed by Ankner et al. (2024), represents an approach where reward models first generate natural language critiques of ...