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Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models...
In the competitive arena of Multi-Agent Reinforcement Learning (MARL), progress has long been bottlenecked by human intuition. For years, researchers...
arXiv:2510.27623v3 Announce Type: replace-cross Abstract: Recent advances in Vision-Language Models (VLMs) have propelled embodied agents by enabling direct perception, reasoning,...
arXiv:2512.02840v2 Announce Type: replace Abstract: Prompt optimization has become crucial for enhancing the performance of large language models (LLMs) across...
Earth’s a medium-size rock with some water on top, enveloped by gases that keep everything that lives here alive. Just...
Every year, poachers shoot hundreds of rhinos, fishing crews haul millions of sharks out of protected seas, and smugglers carry...
AI deployment is changing.
arXiv:2601.19657v3 Announce Type: replace Abstract: Diffusion Language Models (DLMs) have emerged as a compelling alternative to autoregressive approaches, enabling parallel...
arXiv:2601.10161v2 Announce Type: replace Abstract: Named Entity Recognition (NER) is a foundational task in Natural Language Processing (NLP) and Information...
McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models
MBZUAI Researchers Introduce PAN: A General World Model For Interactable Long Horizon Simulation
MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization
Max It or Miss It: Benchmarking LLM On Solving Extremal Problems
Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science
Master Generative AI in 2025 | Live Online Training
Masked Gated Linear Unit
MapFormer: Self-Supervised Learning of Cognitive Maps with Input-Dependent Positional Embeddings
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
