Attending to Multimodal Generation One Token at a Time
Multimodal large language models (MLLMs) generate responses autoregressively, integrating visual and linguistic infor...
每天自动聚合 AI 领域最新动态
Multimodal large language models (MLLMs) generate responses autoregressively, integrating visual and linguistic infor...
We present RuleChef, a framework that uses large language models (LLMs) to generate executable rules for NLP tasks su...
Geometry-conditioned 3D scene generation enables the creation of 3D environments from user-provided geometry, offerin...
Large Audio-Language Models (LALMs) are increasingly integrated into daily applications, yet their generative biases ...
Reinforcement learning (RL) has become a central component of post-training large language models (LLMs), yet little ...
Reinforcement learning (RL) for non-verifiable instruction following increasingly relies on LLM judges with prompt-sp...
Modern one-step diffusion models achieve impressive quality through distribution-based timestep distillation. Yet, th...
JD.com, one of the world's largest e-commerce platforms, serves over 700 million active users and millions of merchan...
Vision-language models (VLMs) are increasingly deployed on infrared (IR) remote sensing imagery in security-critical ...
The dairy industry in Ireland has a large potential for the integration of renewable energy and the reduction of carb...
Live sports commentary is grounded generation under a deadline: statements concern real, named athletes, the groundin...
Large language model (LLM) agents solving multi-step tasks frequently commit to trajectories that are doomed to fail,...