Meta AI Releases Apollo: A New Family of Video-LMMs Large Multimodal Models for Video...
While multimodal models (LMMs) have advanced significantly for text and image tasks,...
UBC Researchers Introduce ‘First Explore’: A Two-Policy Learning Approach to Rescue Meta-Reinforcement Learning RL...
Reinforcement Learning is now applied in almost every pursuit of science and...
Microsoft AI Research Introduces OLA-VLM: A Vision-Centric Approach to Optimizing Multimodal Large Language Models
Multimodal large language models (MLLMs) are advancing rapidly, enabling machines to interpret...
Meta FAIR Releases Meta Motivo: A New Behavioral Foundation Model for Controlling Virtual Physics-based...
Foundation models, pre-trained on extensive unlabeled data, have emerged as a cutting-edge...
Nexa AI Releases OmniAudio-2.6B: A Fast Audio Language Model for Edge Deployment
Audio language models (ALMs) play a crucial role in various applications, from...
DeepSeek-AI Open Sourced DeepSeek-VL2 Series: Three Models of 3B, 16B, and 27B Parameters with...
Integrating vision and language capabilities in AI has led to breakthroughs in...
BiMediX2: A Groundbreaking Bilingual Bio-Medical Large Multimodal Model integrating Text and Image Analysis for...
Recent advancements in healthcare AI, including medical LLMs and LMMs, show great...
Meta AI Proposes Large Concept Models (LCMs): A Semantic Leap Beyond Token-based Language Modeling
Large Language Models (LLMs) have achieved remarkable advancements in natural language processing...
From Theory to Practice: Compute-Optimal Inference Strategies for Language Model
Large language models (LLMs) have demonstrated remarkable performance across multiple domains, driven...
This AI Paper Introduces SRDF: A Self-Refining Data Flywheel for High-Quality Vision-and-Language Navigation Datasets
Vision-and-Language Navigation (VLN) combines visual perception with natural language understanding to guide...
