Browsing: Hugging Face

We find that the response length of reasoning LLMs, whether trained by reinforcement learning or supervised learning, drastically increases for…

We release OLMoTrace, a tool that lets you trace the outputs of language models back to their full, multi-trillion-token training…

Reasoning has emerged as the next major frontier for language models (LMs), with rapid advances from both academic and industrial…

Creating a realistic animatable avatar from a single static portrait remains challenging. Existing approaches often struggle to capture subtle facial…

Excited to present KUMO, a generative evaluation benchmark for LLMs. Unlike static benchmarks, KUMO dynamically generates diverse, multi-turn reasoning tasks…

Balancing fidelity and editability is essential in text-based image editing (TIE), where failures commonly lead to over- or under-editing issues.…

Existing reasoning evaluation frameworks for Large Language Models (LLMs) and Large Vision-Language Models (LVLMs) predominantly either assess text-based reasoning or…

Diffusion models approximate the denoising distribution as a Gaussian and predict its mean, whereas flow matching models reparameterize the Gaussian…

The proliferation of Large Language Models (LLMs) accessed via black-box APIs introduces a significant trust challenge: users pay for services…

We present the evaluation methodology, datasets and results of the BOP Challenge 2024, the sixth in a series of public…