[2602.04804] OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models

Abstract page for arXiv paper 2602.07120: Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model

Abstract page for arXiv paper 2601.14232: KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning

LeVo: High-Quality Song Generation with Multi-Preference Alignment

GITHUB HUGGINGFACE MODELSCOPE SHOWCASE From Chatbot to Autonomous Agent We are proud to present Tongyi DeepResearch, the first fully open‑source Web Agent to achieve performance on par with OpenAI’s DeepResearch across a comprehensive suite of benchmarks. Tongyi DeepResearch demonstrates state‑of‑the‑art results, scoring 32.9 on the academic reasoning task Humanity’s Last Exam (HLE), 43.4 on BrowseComp and 46.7 on BrowseComp‑ZH in extremely complex information‑seeking tasks, and achieving a score of 75 on the user‑centric xbench‑DeepSearch benchmark, systematically outperforming all existing proprietary and open‑source Deep Research agents.

Abstract page for arXiv paper 2602.03510: Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers

GITHUB HUGGING FACE MODELSCOPE DISCORD Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we’re excited to introduce its most powerful variant first: Qwen3-Coder-480B-A35B-Instruct — a 480B-parameter Mixture-of-Experts model with 35B active parameters which supports the context length of 256K tokens natively and 1M tokens with extrapolation methods, offering exceptional performance in both coding and agentic tasks. Qwen3-Coder-480B-A35B-Instruct sets new state-of-the-art results among open models on Agentic Coding, Agentic Browser-Use, and Agentic Tool-Use, comparable to Claude Sonnet 4.

DESCRIPTION META TAG

StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation