Universal Deep Research: Bring Your Own Model and Strategy
Paper
• 2509.00244 • Published
• 14
Large Language Models
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The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 233 -
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
Paper • 2510.00515 • Published • 42 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 146 -
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 33 -
deepseek-ai/DeepSeek-Math-V2
Text Generation • Updated • 10.6k • 684 -
T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground
Paper • 2512.10430 • Published • 117 -
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Paper • 2512.23447 • Published • 98 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 100 -
Qwen3-ASR Technical Report
Paper • 2601.21337 • Published • 36 -
GLM-5: from Vibe Coding to Agentic Engineering
Paper • 2602.15763 • Published • 105 -
RynnBrain: Open Embodied Foundation Models
Paper • 2602.14979 • Published • 43 -
dLLM: Simple Diffusion Language Modeling
Paper • 2602.22661 • Published • 116 -
Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use
Paper • 2603.03205 • Published • 11