…Furthermore, applying Direct Multi-turn Preference Optimization ( DMPO ) on our RL environments yields additional performance gains. These results systematically demonstrate that fully synthetic, executable environments offer a scalable and verifiable supervision signal…
…Agentic harnesses must be specifically built, evaluated and optimized for markets in order to perform reliably. The paper reports concrete failure modes, fabricated rules, fee paralysis, numeric anchoring, cadence trading, and tokenomics…
…gradual architecture transitions lead to better optimization trajectories. Putting it all together, we compress Qwen3-Next-80A3B to a 23A2B model that retains competitive performance. These results offer practical guidance for efficient…
…In this work, we introduce Continuous-Time Distribution Matching (CDM), migrating the DMD framework from discrete anchoring to continuous optimization for the first time. CDM achieves this through two continuous-time designs…
Sensational release! Are the MobileNet-v5 weights coming to https://huggingface.co/timm ? Are there any results on the performance of this model (the vision encoder only) to inspect? Thank you all…
…Reaches competitive performance in just 80 epochs compared to 800+ epochs for previous methods. Diffusion-Friendly Manifold: Explicitly optimizes three key geometric properties: Spatial Structure Coherence, Local Manifold Continuity, and Global Semantic…
…To put it directly, RL fundamentally optimizes the recall of latent knowledge. 2️⃣ The unexpected contribution of 0/128 samples: Remarkably, ~83% of the performance jump is driven by training on the…
…Yihong Liu , , , Abstract COPSD transfers high-resource language model reasoning behavior to low-resource languages using self-distillation with crosslingual context, improving mathematical reasoning performance. AI-generated summary Large language models (LLMs…
…These developments lead to strong performance in multimodal coding, visual tool use , and framework-based agentic tasks, while preserving competitive text-only coding capability. More importantly, our development process offers practical insights…
…Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning (2026) Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes (2026) Self-Induced Outcome Potential: Turn-Level Credit Assignment…