AI Briefing#mllm
The latest AI and developer news about #mllm, with the original source and a short summary.
The latest AI and developer news about #mllm, with the original source and a short summary.
The open-source repository includes a closed-loop simulator with 44 environments and a 120-task benchmark that evaluates models based on final world state rather than text.
Human participants achieve 93.1% accuracy on the new HSS benchmark, while the top-performing model, GPT-6-astra, reaches only 53.6%.
ByteDance has released Bernini, an open-source framework that combines an MLLM planner and a DiT renderer to perform six video generation and editing tasks.
LG AI Research has unveiled VinQA, a study that generates answers by strategically combining text and visual elements.
LG AI Research has unveiled 'VinQA,' a multimodal document QA study that generates long-form answers by appropriately placing text and visual elements together.
A human-annotated LVSum benchmark has been released to evaluate temporal accuracy in long video summarization.
This study proposes the TGPO algorithm, which strengthens temporal reasoning to enhance MLLMs' understanding of egocentric video.
With Hugging Face Jobs infrastructure, you can build an OpenAI-compatible vLLM endpoint with just a single command.
Qwen-RobotWorld is a next-generation Embodied World Model that uses natural language as an interface to jointly train across diverse robot embodiments and environments.
FuriosaAI presented research papers on multimodal learning and diffusion model control at ECCV and CoLM.