Actualités
Mind the Gap: A Review of Arabic Post-Training Datasets and Their Limitations
arXiv:2507.14688v1 Announce Type: new Abstract: Post-training has emerged as a crucial technique for aligning pre-trained...
Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs
arXiv:2502.14830v2 Announce Type: replace Abstract: While large language models demonstrate remarkable capabilities at task-specific applications...
Microsoft-backed Mistral launches European AI cloud to compete with AWS and Azure
Mistral AI partners with Nvidia to launch European AI infrastructure platform, challenging US cloud giants...
Microsoft Researchers Introduce ARTIST: A Reinforcement Learning Framework That Equips LLMs with Agentic Reasoning and Dynamic Tool Use
LLMs have made impressive gains in complex reasoning, primarily through innovations in architecture, scale, and...
Microsoft Releases NLWeb: An Open Project that Allows Developers to Easily Turn Any Website into an AI-Powered App with Natural Language Interfaces
Many websites lack accessible and cost-effective ways to integrate natural language interfaces, making it difficult...
Micro Center nerd store fills the Fry’s vacuum with its return to Silicon Valley
Micro Center, an electronics retailer, has opened a store in Silicon Valley in California And...
MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants
arXiv:2507.01887v1 Announce Type: new Abstract: Large language models (LLMs) excel at reasoning tasks requiring long...
Meta Releases Llama Prompt Ops: A Python Package that Automatically Optimizes Prompts for Llama Models
The growing adoption of open-source large language models such as Llama has introduced new integration...
Meta AI Researchers Introduced a Scalable Byte-Level Autoregressive U-Net Model That Outperforms Token-Based Transformers Across Language Modeling Benchmarks
Language modeling plays a foundational role in natural language processing, enabling machines to predict and...
Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large Language Models
Multi-modal large language models (MLLMs) have shown great progress as versatile AI assistants capable of...
MemOS: A Memory-Centric Operating System for Evolving and Adaptive Large Language Models
LLMs are increasingly seen as key to achieving Artificial General Intelligence (AGI), but they face...
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
arXiv:2506.21605v1 Announce Type: new Abstract: Recent works have highlighted the significance of memory mechanisms in...
