activity
20182026
most citedChemLLM: A Chemical Large Language Model

46 citations · 195 across the 177 of their papers we have counts for

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42 papers · 1 filter

cs.LG2026

An immune world model for multiscale forecasting and therapeutic hypothesis generation

Taoyong Cui, Xi Wang, Zonghang Li +11

Immune therapies act across cell-intrinsic programs, tissue ecosystems, and patient-specific immune states, yet most predictors address these scales separately. We used a governed…

cs.LG2026

Orthogonal JEPA: Factorized Predictive States for Latent World Models

Taoyong Cui, Pheng Ann Heng, Wanli Ouyang

World models construct latent states that support prediction, planning, and reasoning about an underlying system. Joint-embedding predictive architectures (JEPAs) offer a direct wa…

cs.LG2026

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

Wanghan Xu, Shuo Li, Tianlin Ye +48

AI coding agents are increasingly used for scientific work, but their end-to-end autonomous research capability remains difficult to verify. We present ResearchClawBench, a benchma…

cs.LG2026

ReCrit: Transition-Aware Reinforcement Learning for Scientific Critic Reasoning

Wanghan Xu, Yuhao Zhou, Hengyuan Zhao +8

Large language models can fail in critic interaction not only by answering incorrectly, but also by abandoning an initially correct scientific solution after user criticism. This i…

cs.LG2026

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting

Fan Xu, Yuan Gao, Kun Wang +4

Probabilistic weather forecasting requires not only accurate trajectories, but calibrated distributions over plausible atmospheric futures. Recent data-driven systems have achieved…

cs.LG2026

Equivariant Evidential Deep Learning for Interatomic Potentials

Zhongyao Wang, Taoyong Cui, Jiawen Zou +5

Uncertainty quantification (UQ) is critical for assessing the reliability of machine learning interatomic potentials (MLIPs) in molecular dynamics (MD) simulations, identifying ext…