Manus has kick-started an AI agent boom in China
6 月 6, 2025admin NUAI,Committee,新闻,Uncategorized(0)Last year, China saw a boom in foundation models, the do-everything large language models that...
Managing Small Context Windows in Language Models
8 月 19, 2026admin NUAI,Committee,新闻,Uncategorized(0)In this article, you will learn three practical strategies for managing small context windows in...
Managing Small Context Windows in Language Models
8 月 19, 2026admin NUAI,Committee,新闻,Uncategorized(0)In this article, you will learn three practical strategies for managing small context windows in...
MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration
6 月 25, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2506.19835v1 Announce Type: new Abstract: Recent advancements in medical Large Language Models (LLMs) have showcased...
MALLM: Multi-Agent Large Language Models Framework
9 月 16, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2509.11656v1 Announce Type: cross Abstract: Multi-agent debate (MAD) has demonstrated the ability to augment collective...
Making AI operational in constrained public sector environments
4 月 16, 2026admin NUAI,Committee,新闻,Uncategorized(0)The AI boom has hit across industries, and public sector organizations are facing pressure to...
Make It Hard to Hear, Easy to Learn: Long-Form Bengali ASR and Speaker Diarization via Extreme Augmentation and Perfect Alignment
2 月 27, 2026admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2602.23070v1 Announce Type: cross Abstract: Although Automatic Speech Recognition (ASR) in Bengali has seen significant...
MacroBench: A Novel Testbed for Web Automation Scripts via Large Language Models
10 月 10, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2510.04363v2 Announce Type: replace-cross Abstract: We introduce MacroBench, a code-first benchmark that evaluates whether LLMs...
MAC: A Multi-Agent Framework for Interactive User Clarification in Multi-turn Conversations
12 月 16, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2512.13154v1 Announce Type: cross Abstract: Conversational agents often encounter ambiguous user requests, requiring an effective...
