A naukri.com initiative
Arxiv
9h
256
Image Credit: Arxiv
Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
- Researchers have identified limitations in current reward models in reinforcement learning from human feedback.
- To address these limitations, they introduced a large-scale preference dataset named SynPref-40M.
- A two-stage pipeline involving human annotations and AI scalability was designed to curate the data.
- Their Skywork-Reward-V2 suite of eight reward models shows state-of-the-art performance across various benchmarks.
Read Full Article
15 Likes
For uninterrupted reading, download the app