Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following
Paper • 2610.19525 • Published • 11
Dataset Viewer
The dataset viewer is not available for this split.
The size of the content of the first rows (40922095 B) exceeds the maximum supported size (200000 B) even after truncation. Please report the issue.
Error code: TooBigContentError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
CALIF training caches
Paper: Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following.
Precomputed responses and reference-policy scores for the five CALIF training settings: Qwen3-1.7B and Qwen3-4B in non-thinking and thinking modes, and Llama-3.1-Tulu-3-8B-DPO.
Training code: https://github.com/ssangyeon/CALIF
- Downloads last month
- 46