Browsing: Hugging Face
A study reveals that Large Language Models (LLMs) struggle with expressing uncertainty accurately and introduces MetaFaith, a prompt-based method that…
We present v1, a lightweight extension to Multimodal Large Language Models (MLLMs) that enables selective visual revisitation during inference. While…
A comprehensive TTS benchmark, EmergentTTS-Eval, automates test-case generation and evaluation using LLMs and LALM to assess nuanced and semantically complex…
LLMs are nonlinear functions that map a sequence of input embedding vectors to a predicted embedding vector. We show that…
CLIPGaussians is a style transfer framework that supports text- and image-guided stylization of 2D images, videos, 3D objects, and 4D…
Evaluation of Large Reasoning Models in multilingual reasoning shows limited capability, with interventions improving readability but reducing accuracy. Recent Large…
ToMAP enhances LLM persuaders with Theory of Mind modules, improving opponent awareness and argument quality. Large language models (LLMs) have…
PatientSim generates diverse and realistic patient personas using clinical data to evaluate LLMs in medical dialogue settings. Doctor-patient consultations require…
Large Language Models (LLMs) generate functionally correct solutions but often fall short in code efficiency, a critical bottleneck for real-world…
MAGREF is a unified framework for video generation that uses masked guidance and dynamic masking for coherent multi-subject synthesis from…