Champion-specific embeddings and limited MCTS in Maia-2 reduce average Jensen-Shannon divergence to 16 historical chess champions' move distributions in a new latent-space metric, even as standard move accuracy falls.
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PolySwarm aggregates predictions from 50 LLM personas for Polymarket trading using Bayesian combination and divergence metrics, outperforming single models in calibration while adding latency arbitrage via CEX price models.
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Toward Modeling Player-Specific Chess Behaviors
Champion-specific embeddings and limited MCTS in Maia-2 reduce average Jensen-Shannon divergence to 16 historical chess champions' move distributions in a new latent-space metric, even as standard move accuracy falls.
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PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitrage
PolySwarm aggregates predictions from 50 LLM personas for Polymarket trading using Bayesian combination and divergence metrics, outperforming single models in calibration while adding latency arbitrage via CEX price models.