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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CL2026

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination

Wenxiao Zhao, Dong Liu, Kaiyi Xu +10

Symbolic regression aims to discover closed-form equations from data, but existing LLM-guided methods often rely on a unified proposal loop that compresses heterogeneous search fai…

cs.CL2026

AutoSupervision: Closing the Feedback Loop in Scientific Workflows with Grounded Revision Verification

Haobo Li, Eunseo Jung, Wenxiao Zhao +8

The paper presents AutoSupervision, a system that automatically verifies whether manuscript revisions truly address reviewer comments by grounding the verification in evidence from…

cs.CL2026

Obshazard-bench: Benchmarking Multimodal Foundation Models for Real-Time Disaster Intelligence from Raw Earth Observation Streams

Fengxiang Wang, Qiuyang Yu, Yueying Li +14

Multimodal Large Language Models (MLLMs) are increasingly used to interpret Earth observation data, yet their capability to support real-world disaster emergency response remains i…

cs.CV2026

Earth-o1: A Grid-free Observation-native Atmospheric World Model

Junchao Gong, Kaiyi Xu, Wangxu Wei +22

Despite the unprecedented volume of multimodal data provided by modern Earth observation systems, our ability to model atmospheric dynamics remains constrained. Traditional modelin…

cs.CV2025

SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer

Kaiyi Xu, Junchao Gong, Zhiwang Zhou +7

With the advancement of meteorological instruments, abundant data has become available. Current approaches are typically focus on single-variable, single-region tasks and primarily…

cs.LG2025

SynCast: Synergizing Contradictions in Precipitation Nowcasting via Diffusion Sequential Preference Optimization

Kaiyi Xu, Junchao Gong, Wenlong Zhang +3

Precipitation nowcasting based on radar echoes plays a crucial role in monitoring extreme weather and supporting disaster prevention. Although deep learning approaches have achieve…