LongEarth-R1: Benchmarking and Aligning Vision-Language Models for Long-Horizon Earth Observation Reasoning
LongEarth-R1 is a framework designed to improve how vision-language models reason about long-term geographic changes.
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LongEarth-R1 is a framework designed to improve how vision-language models reason about long-term geographic changes.
This paper explores how to make virtual agents in Metaverse-style environments more intelligent by using Small Language Models (SLMs) to handle core cognitiv...
Academic League of Artificial Intelligence - An Integrative Perspective of Teaching, Research, and Extension presents an organizational framework for student...
The paper "LLM-Guided Graph Generation for Structure-Based Local Improvement Methods" introduces an automated pipeline that uses Large Language Models (LLMs)...
TopoIntent is a system designed to automate the creation of enterprise network security architectures.
Large language models (LLMs) often struggle with basic numerical tasks despite their high performance on complex mathematical reasoning benchmarks.
"Sovereign by necessity? Frontier AI export controls, cyber security, and the limits of national AI capability" examines the geopolitical and security implic...
OmniScientist is an end-to-end AI system designed to automate the entire scientific research lifecycle, from generating hypotheses to writing final manuscrip...
SkillEvo is a framework designed to automate the maintenance and improvement of "Agent Skills"—portable modules that encapsulate domain knowledge and procedu...
NAS-Driven Hardware Accelerator Exploration for Edge AI and Quantization Effects on the Pareto Space addresses the challenge of deploying neural networks on...
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