adaptive learning 1gaussian processes 1human-ai collaboration 1inquiry-based education 1large language models 1personalized recommendation 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.AI2026
InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation
Wen-Xi Yang, Tian-Fang Zhao, Guan Liu
The paper presents InqEduAgent, a framework that uses large language models combined with a Gaussian‑process‑based matching mechanism to adaptively select AI learning partners for…
cs.AI2026
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark
Minhui Zhu, Minyang Tian, Xiaocheng Yang +61
While large language models (LLMs) with reasoning capabilities are progressing rapidly on high-school math competitions and coding, can they reason effectively through complex, ope…
hep-ex2026
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…