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Hugging Face Unveils DreamX-Creator: 7B Model for Native 2K Audio-Video Generation
DreamX-Creator 1.0 is a compact 7B model that natively generates synchronized audio and video at 2K resolution, using cross-modal...
New EASEL Benchmark Reveals Multimodal Agents Struggle with Dexterous Visual Tool Use
Hugging Face researchers introduce EASEL, a benchmark for fine-grained visual tool use, showing that current multimodal agents fai...
Sliding-Window Attention Outperforms Linear Attention on Long Contexts
A new study from Hugging Face shows that sliding-window attention with sinks matches or beats post-trained linear attention on lon...
ElephantBench: Probing LLMs' Blind Spots in Long-Tail Knowledge
A new benchmark reveals that even the strongest LLMs fail to recall multiple conflicting accounts of long-tail facts, with the bes...
Parallel Tube Decoding Cuts Video Grounding Latency 79x
Hugging Face researchers introduce Parallel Tube Decoding (PTD), a generative method that decodes spatial and temporal video groun...
Hugging Face Paper Proposes Fast Weight Attention for Continual Learning
A new research paper on Hugging Face introduces Fast Weight Attention, a framework that unifies recurrent fast-weight memories and...
StarHarness: Evolving Agent Harnesses Boosts Enterprise Performance by 20–35 Points
New research from Hugging Face introduces StarHarness, a framework that evolves agent harnesses around fixed model weights, improv...
LayerRecall: A New Memory Router Boosts Long-Video Consistency in Diffusion Models
Hugging Face researchers introduce LayerRecall, a state-conditioned memory router that selectively injects long-range historical m...
Intention Distillation: Teaching Robot Action Decoders the 'Why' Behind Behavior
Hugging Face researchers introduce Intention Distillation (INDI), a method that distills behavior-level intent from a frozen teach...
Puro-2B: Training a 2B LLM for Under $5,090 on Consumer GPUs
A new open-source recipe trains 2B-parameter LLMs on RTX 5090 GPUs for under $7K, approaching Qwen2.5-1.5B performance and derivin...
Survey Defines Agentic Artifact Creation: 230 Systems Analyzed, Principles Proposed
A new survey from Hugging Face defines 'agentic artifact creation' as stateful, feedback-driven AI construction of deliverables, a...
DART-SD: A New Framework to Fix Multi-Turn Tool-Calling Agents by Targeting Critical Breakpoints
Hugging Face researchers introduce DART-SD, a topology-aware self-distillation framework that models tool-use trajectories as diam...