Author

Tommy Sha

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#artificial intelligence Preprint Sep 2026

ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR

The prior requires no target-policy rollout before the first selection, but the posterior thereafter uses target-policy outcomes, and the measured ThinkPrior+DAPO composition reduces generated rollouts by 10.6% while both arms retain the same 3840-rollout update budget.

Tommy Sha, Skylar Zhai, Si-Qi Zhao · 1 citation · ⚡1

#artificial intelligence Preprint Sep 2026

GoAnt: Quality-Diversity Multi-Agent Search for Alpha Factor Discovery in Market Microstructure Data

GoAnt is introduced, a quality-diversity multi-agent search framework that combines non-communicating Explorer, Exploiter and Connector workers with a shared adaptive Mental Map and a compact Queen dispatcher, and a map-independent effective-yield protocol that counts high-quality, mutually nonredundant factors directl...

Stella Zhao, Tommy Sha · 0 citations