Paper page - SkillOS: Learning Skill Curation for Self-Evolving Agents
…No dataset linking this paper Cite arxiv.org/abs/2605.06614 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2605…
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Paper page - Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling
…AI-generated summary Recent advances in generative video models are increasingly driven by post-training and test-time scaling, both of which critically depend on the quality of video reward models (RMs…
Paper page - Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model Reasoning
…AI-generated summary We present Darwin Family, a framework for training-free evolutionary merging of large language models via gradient-free weight-space recombination . We ask whether frontier-level reasoning performance can…
Paper page - Fast Byte Latent Transformer
…We address this bottleneck in the Byte Latent Transformer (BLT) through new training and generation techniques. First, we introduce BLT Diffusion (BLT-D), a new model and our fastest BLT variant, trained…
Paper page - Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models
…a single KV cache across reasoning loops and using chunk-wise training with interpolated transition and attention-aligned distillation. AI-generated summary Recurrent LLM architectures have emerged as a promising approach for…
Paper page - LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation
…In synthetic multi-speaker diarisation , LASE matches ECAPA-TDNN on cross-script speaker recall (0.788 vs 0.789) with ~100x less training data. We release the r1 checkpoint, both corpora, and…
Paper page - Stream-T1: Test-Time Scaling for Streaming Video Generation
…AI-generated summary While Test-Time Scaling (TTS) offers a promising direction to enhance video generation without the surging costs of training, current test-time video generation methods based on diffusion models…
Paper page - Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria
…On top of that, we provide a concise pairwise online RL algorithm for diffusion models that emphasizes data efficiency, training stability, and scalability, verifying that Rubric as Reward extends beyond multimodal reasoning…
Paper page - VLM3: Vision Language Models Are Native 3D Learners
…cai on Jun 1 AI at Meta Authors: , , , , , Abstract Vision Language Models can be adapted for 3D understanding tasks through simple architectural modifications and text-based training, achieving performance comparable to specialized…
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