每天自动聚合 AI 领域最新动态
Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) exhibit fundamentally different behaviors in enhancing m...
Recent works train agents by constructing large-scale multimodal environment pools. However, we find that simply incr...
Test data from public benchmarks inevitably leaks into pretraining corpora, inflating evaluation scores once memorize...
Foundation models are used to extract transferable representations from large amounts of unlabeled data, typically vi...
Vision-language models are increasingly serving as the reasoning core of embodied agents. Robot execution is inherent...
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in emotional intelligence. However...
We present MameLoshnLM, the first open-source 8B-parameter language model built specifically for Yiddish. Despite Yid...
Short segments of perceived speech can be retrieved from non-invasive magnetoencephalographic (MEG) recordings by dee...
Data agents enable natural-language analytics over organizational workspaces, where relevant evidence may be scattere...
Computer-use agents pay full frontier inference to re-derive routines their user has already performed, because an ag...
Latent diffusion modeling (LDM), a prominent paradigm, utilizes tokenizers to map input signal to compressed represen...
World models have attracted significant attention for their ability to capture and predict the structure and dynamics...