Salesforce Trains Reasoning Models to Batch-Generate Diverse Research Ideas

Salesforce · hf · 2026-10-20

Salesforce researchers propose a set-level reinforcement learning objective that trains LLMs to generate K diverse, high-quality, document-grounded scientific ideas in a single pass.

Unlike prior work that optimizes one idea toward a gold target, the method explicitly reasons over candidate ideas, avoids directions already taken, and targets open problems — making diversity built-in. The authors report stronger creative utility than larger proprietary models.

Original post →

More from Research

Research channel →