Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Abstract: Recent works have increasingly adopted pre-trained language models, such as BERT, to model technical semantics for patent relevance assessment. However, existing truncation and divide-merge ...

Abstract: Using data-driven technology for soft sensing can significantly reduce the difficulty of obtaining key quality variables in industrial processes. Under real industrial conditions with ...

The diffusion paradigm has emerged as a promising alternative to autoregressive (AR) models, offering the potential for efficient parallel decoding. However, existing diffusion vision language models ...

WorldVLA is an autoregressive action world model that unifies action and image understanding and generation. WorldVLA intergrates Vision-Language-Action (VLA) model (action model) and world model in ...

You’re deploying an LLM in production. Generating the first few tokens is fast, but as the sequence grows, each additional token takes progressively longer to generate—even though the model ...