What Don’t You Understand? Using Large Language Models to Identify and Characterize Student Misconceptions About Challenging Topics
May 4, 2026admin NUAI,Committee,News,Uncategorized(0)arXiv:2605.00294v1 Announce Type: new Abstract: This study presents a systematic approach to identifying and characterizing...
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs
October 16, 2025admin NUAI,Committee,News,Uncategorized(0)arXiv:2505.10113v3 Announce Type: replace Abstract: In this paper, we introduce S-MedQA, an English medical question-answering...
What do Speech Foundation Models Learn? Analysis and Applications
August 19, 2025admin NUAI,Committee,News,Uncategorized(0)arXiv:2508.12255v1 Announce Type: new Abstract: Speech foundation models (SFMs) are designed to serve as general-purpose...
What could possibly go wrong if an enterprise replaces all its engineers with AI?
November 9, 2025admin NUAI,Committee,News,Uncategorized(0)AI coding, vibe coding and agentic swarm have made a dramatic and astonishing recent market...
What Are They Talking About? A Benchmark of Knowledge-Grounded Discussion Summarization
November 7, 2025admin NUAI,Committee,News,Uncategorized(0)arXiv:2505.12474v3 Announce Type: replace Abstract: Traditional dialogue summarization primarily focuses on dialogue content, assuming it...
What Anthropic’s latest AI discovery does—and doesn’t—show
July 13, 2026admin NUAI,Committee,News,Uncategorized(0)This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories...
Welcome to the dark side of crypto’s permissionless dream
February 18, 2026admin NUAI,Committee,News,Uncategorized(0)“We’re out of airspace now. We can do whatever we want,” Jean-Paul Thorbjornsen tells me...
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
May 1, 2025admin NUAI,Committee,News,Uncategorized(0)arXiv:2504.21776v1 Announce Type: new Abstract: Large reasoning models (LRMs), such as OpenAI-o1 and DeepSeek-R1, demonstrate...
Weak-for-Strong (W4S): A Novel Reinforcement Learning Algorithm that Trains a weak Meta Agent to Design Agentic Workflows with Stronger LLMs
October 19, 2025admin NUAI,Committee,News,Uncategorized(0)Researchers from Stanford, EPFL, and UNC introduce Weak-for-Strong Harnessing, W4S, a new Reinforcement Learning RL...
