Latent seeds improve exploration without adding randomness throughout reasoning traces

Hu and colleagues report that Info-GRPO improves reasoning benchmark performance by encouraging diversity between complete solution paths while allowing individual paths to become more confident.

Big Tech
Junxing Hu · Zicheng Zhang · Zhiqian Zhang · Ai Han · Yifeng Zhang · Pengzhang Liu · +1 more

JD.com · Microsoft

Research Digest··2 min read
Illustration: Latent seeds improve exploration without adding randomness throughout reasoning traces
Hu and colleagues introduce Info-GRPO, a training method designed to stop reasoning models from narrowing prematurely to a small set of strategies.

The authors modify Group Relative Policy Optimization, or GRPO, a reinforcement-learning method that compares groups of generated answers to guide training.

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