5 papers
COBALT: Contextual Bandit Learning with Offline Trajectories for Multi-Turn Code Generation
Ziru Chen, Dongdong Chen, Ruinan Jin +3
Training large language models (LLMs) for multi-turn code generation typically relies on online reinforcement learning (RL), in which models learn from repeatedly generated online…
LC4-DViT: Land-cover Creation for Land-cover Classification with Deformable Vision Transformer
Kai Wang, Siyi Chen, Weicong Pang +7
Land-cover underpins ecosystem services, hydrologic regulation, disaster-risk reduction, and evidence-based land planning; timely, accurate land-cover maps are therefore critical f…
Large Language Models Achieve Gold Medal Performance at the International Olympiad on Astronomy & Astrophysics (IOAA)
Lucas Carrit Delgado Pinheiro, Ziru Chen, Bruno Caixeta Piazza +4
While task-specific demonstrations show early success in applying large language models (LLMs) to automate some astronomical research tasks, they only provide incomplete views of a…
GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation
Qianheng Zhang, Song Gao, Chen Wei +6
Recent advances in large language models (LLMs) have fueled growing interest in automating geospatial analysis and GIS workflows, yet their actual capabilities remain uncertain. In…
Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design
Junjie Zhang, Zhimin Zong, Lin Gu +8
The evolution of colour vision is captivating, as it reveals the adaptive strategies of extinct species while simultaneously inspiring innovations in modern imaging technology. In…