OmniReasoning: Pushing the Limits of Audio-Visual Joint Reasoning
Recent advances have enabled unified omni-modal models in understanding audio, vision, and language. However, existin...
每天自动聚合 AI 领域最新动态
Recent advances have enabled unified omni-modal models in understanding audio, vision, and language. However, existin...
Image-text alignment is a core problem in computer vision with applications in caption evaluation, hallucination dete...
Vision-language-action (VLA) models generalize broadly across robotic manipulation tasks, but complex environments re...
Recent efforts to scale tool-use post-training have largely centered on the synthesis of executable environments, whi...
Multi-teacher on-policy distillation (MOPD) aims to combine the strengths of RL-trained teachers in a single student,...
Pretrained generative Diffusion Transformers (DiTs) capture rich pixel-level visual and language-conditioned structur...
Video world models achieve long-range temporal consistency by storing KV cache during generation, but the growing cac...
On-policy distillation (OPD) trains a student on the responses it generates. Existing LLM multi-teacher OPD transfers...
Modeling spatiotemporal coupling is a key challenge in building physical intelligence across scales, from microscopic...
A companion that talks with a person for months should come to understand them. It should remember what they said, in...
Retrieval-based factuality evaluation, where LLM-generated claims are verified against evidence from authoritative me...
Vision-language models are increasingly used to understand long videos and continuous streams. However, dense visual ...