SpatialASM: Internalizing Active Mentalization for Spatial Reasoning
When solving complex spatial reasoning tasks, ordinary humans naturally revisit the scenes from task-relevant viewpoi...
每天自动聚合 AI 领域最新动态
When solving complex spatial reasoning tasks, ordinary humans naturally revisit the scenes from task-relevant viewpoi...
Comics are one of the great visual records of the twentieth century: hundreds of thousands of pages in which a mass r...
Personal agents increasingly connect to services across the web and applications by using tools. As the effects of th...
As AI agents increasingly rely on external tools, accurate retrieval is essential for reliable behavior. Existing met...
Large language models reuse the same attention heads across tasks, but identifying these shared heads does not explai...
While deep learning models for tabular data have recently received significant research attention, the choice of obje...
Interpreting machine learning model predictions is a central challenge, particularly for black-box vision models. Con...
Language models increasingly support or automate information retrieval from document collections too large to index. ...
Language model agents increasingly operate over long interaction streams, requiring online adaptation to distribution...
Online reinforcement learning (RL) fine-tunes diffusion models with black-box rewards, but reverse-process methods su...
Humans effortlessly react to the world; they adeptly return a tennis shot, catch a falling cup, step aside from a pas...
Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while...