arXiv:2412.14626v3 Announce Type: replace-cross Abstract: Recent advancements in large language models (LLMs) have demonstrated their potential in…
Tag: AI
NeoMME: an efficient Multimodal-native and Multilingual Encoder
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: NeoMME: an efficient Multimodal-native and Multilingual Encoder
VideoHarness-RSI: Recursive Harness Self-Improvement for Long-Video Understanding with Frozen Vision-Language Models
arXiv:2608.24302v2 Announce Type: replace Abstract: Long-video understanding depends not only on the capability of a vision-language model (VLM), but also…
OpenAI’s rogue agents keep escaping, with no formal process to investigate them
OpenAI’s latest agent swarm incident adds urgency to calls for independent investigations as researchers and lawmakers question whether AI labs should…
From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extraction
arXiv:2608.28974v2 Announce Type: replace Abstract: Clinically relevant oncology information is distributed across heterogeneous, longitudinal…
Neurosymbolic Reasoning with Incremental Knowledge for Sample Efficient Hierarchical Reinforcement Learning
arXiv:2608.02993v2 Announce Type: replace Abstract: (Flat) Reinforcement Learning (RL) agents face significant challenges in environments with sparse…
Ex-Omni-2D: Expressive Omni-Modal Dialogue Models with Native Visual Presence
arXiv:2608.10720v2 Announce Type: replace Abstract: Omni-modal dialogue models can understand multimodal inputs and synthesize spoken replies, but a…
A Unifying Perspective on Causal World Models: From Observations to Representations to Structure
arXiv:2608.13456v2 Announce Type: replace Abstract: World Models (WM) are increasingly seen as a foundation for intelligent agents that can predict, plan,…
K-Bench: measuring model performance on real scientific agent requests
arXiv:2608.21601v2 Announce Type: replace Abstract: Benchmarks for scientific artificial intelligence are mostly written to be scored: multiple-choice…
Nvidia confirms it will buy Hugging Face for $12.9 billion
Nvidia said Hugging Face hosts over 3 million models and is used by over 18 million developers.