Key papers

• UI-TARS: Pioneering Automated GUI Interaction with Native Agents (2025)
  Yujia Qin et al.
  5.13
• GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models (2025)
  GLM-4. 5 Team et al.
  5.10
• VibeVoice-ASR-BitNet Technical Report (2026)
  Songchen Xu et al.
  4.39
• MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning (2025)
  Ke Wang et al.
  3.81
• OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale (2026)
  Jingze Shi et al.
  3.23
• QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL (2025)
  Cong Yu et al.
  3.10
• Web-Shepherd: Advancing PRMs for Reinforcing Web Agents (2025)
  Hyungjoo Chae et al.
  2.82
• Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity (2026)
  Bytedance Seed
  2.00
• ACID: Action Consistency via Inverse Dynamics for Planning with World Models (2026)
  Gawon Seo et al.
  2.00
• Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots (2026)
  Ling Xu et al.
  2.00
• WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory (2026)
  Hanlin Wang et al.
  2.00
• Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model (2026)
  Xinyin Ma et al.
  2.00
• HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better (2026)
  Gengluo Li et al.
  2.00
• From Foundation to Application: Improving VLA Models in Practice (2026)
  Wei Wu et al.
  2.00
• RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation (2026)
  Haoyu Zhao et al.
  2.00
• Vision as Unified Multimodal Generation (2026)
  Xiaoyang Han et al.
  2.00
• EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs (2026)
  Jewon Yeom et al.
  1.94
• Learning to Commit: Generating Organic Pull Requests via Online Repository Memory (2026)
  Mo Li et al.
  1.94
• FORGE:Fine-grained Multimodal Evaluation for Manufacturing Scenarios (2026)
  Xiangru Jian et al.
  1.94
• Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts (2026)
  Chen Yang et al.
  1.72
• Benchmarking Optimizers for Large Language Model Pretraining (2025)
  Andrei Semenov et al.
  1.44
• EnvX: Agentize Everything with Agentic AI (2025)
  Linyao Chen et al.
  1.44
• Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs (2025)
  Liang Zeng et al.
  1.28
• Technical Report: Full-Stack Fine-Tuning for the Q Programming Language (2025)
  Brendan R. Hogan et al.
  1.28
• AnyTOD: A Programmable Task-Oriented Dialog System (2022)
  Jeffrey Zhao et al.
  —
• TANGO: Training-free Embodied AI Agents for Open-world Tasks (2024)
  Filippo Ziliotto et al.
  —
• DeepSeek-V3 Technical Report (2024)
  DeepSeek-AI et al.
  —
• Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks (2023)
  Tiedong Liu et al.
  —
• FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets (2023)
  Seonghyeon Ye et al.
  —
• AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling (2024)
  Zihan Liu et al.
  —