Mistral Ships TTS, Diffusion LLMs Get 4.7x Faster

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• Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale score 8
  入选 HF Daily Papers; HF 热度: 100 upvotes (+4); 关键词(3): scaling, reasoning, open-source
• Voxtral TTS score 8
  入选 HF Daily Papers; HF 热度: 27 upvotes (+4); 关键词(1): quantization
• RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models score 10
  入选 HF Daily Papers; HF 热度: 43 upvotes (+4); 有代码实现; 关键词(1): open-source
• MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data score 10
  入选 HF Daily Papers; HF 热度: 26 upvotes (+4); 有代码实现; 关键词(2): fine-tuning, reasoning
• PixelSmile: Toward Fine-Grained Facial Expression Editing score 9
  入选 HF Daily Papers; HF 热度: 105 upvotes (+4); 有代码实现
• MuRF: Unlocking the Multi-Scale Potential of Vision Foundation Models score 8
  入选 HF Daily Papers; HF 热度: 8 upvotes (+2); 有代码实现; 关键词(1): serving
• S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-Speculation score 7
  入选 HF Daily Papers; HF 热度: 4 upvotes (+1); 有代码实现; 关键词(1): lightweight
• Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes score 7
  入选 HF Daily Papers; HF 热度: 3 upvotes (+1); 有代码实现; 关键词(4): distillation, post-training, agentic, reasoning

Also Worth Noting

• Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML score 4
  机构: MIT; 关键词(3): compression, quantization, latency
• MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models score 4
  关键词(3): GRPO, MoE, vision-language; 顶会接收: CVPR
• MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning score 4
  关键词(3): scaling, distillation, reasoning; 顶会接收: CVPR
• Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models score 4
  关键词(2): scaling, compression; 顶会接收: ICLR
• Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem score 4
  关键词(1): deployment; 顶会接收: NeurIPS
• EagleNet: Energy-Aware Fine-Grained Relationship Learning Network for Text-Video Retrieval score 4
  关键词(1): vision-language; 顶会接收: CVPR
• SliderQuant: Accurate Post-Training Quantization for LLMs score 4
  关键词(4): quantization, post-training, MoE, reasoning; 顶会接收: ICLR
• Separate Before You Compress: The WWHO Tokenization Architecture score 4
  机构: OpenAI; 关键词(2): compression, reasoning
• Adaptive Learned Image Compression with Graph Neural Networks score 4
  关键词(1): compression; 顶会接收: CVPR
• Multimodal Dataset Distillation via Phased Teacher Models score 4
  关键词(2): compression, distillation; 顶会接收: ICLR
• Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training score 4
  关键词(1): data curation; 顶会接收: CVPR