Author

Jun Bai

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#machine learning Preprint Sep 2026

CircuitLens: Reasoning Circuits as Data Selection Signals for Reinforcement Learning with Verifiable Rewards

CRS is introduced, a selection signal derived from 46 reasoning-sensitive attention heads identified via contrastive ablation, computed in a single forward pass on the frozen base model without reward labels or rollouts, which runs against the intuitive hypothesis that stronger reasoning-circuit engagement produces bet...

Zhuo-Fan Chen, Zi-Qian Jiao, Yi-Kai Cui et al. · 1 citation

Preprint Aug 2026

DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data

DoctorAgents is proposed, an agentic AI framework that autonomously constructs and optimizes end-to-end ML pipelines through specialized large language model (LLM) agents for generation, validation, and refinement.

Ruilin Wang, Bo-Hong Wang, Elizabeth Kourbatski et al. · 1 citation

#artificial intelligence Preprint Aug 2026

FedEHR-Agents: Federated Agentic Optimization for Automated EHR Modeling

Clinical modeling experience is established as a promising collaborative object beyond conventional parameter-centric FL and point toward federated autonomous clinical intelligence.

Jun Bai, Ruilin Wang, Yue Li · 0 citations