Papers

• LakeQuest: A Three-Domain Benchmark for Grounded Question Answering across Data Lakes (2026)
  Michael Solodko et al.
  3.51
• Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity (2026)
  Bytedance Seed
  2.00
• Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning (2026)
  Shijie Li et al.
  2.00
• From Foundation to Application: Improving VLA Models in Practice (2026)
  Wei Wu et al.
  2.00
• ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation (2026)
  Kaifeng Zhao et al.
  2.00
• CodePercept: Code-Grounded Visual STEM Perception for MLLMs (2026)
  Tongkun Guan et al.
  1.94
• EnvX: Agentize Everything with Agentic AI (2025)
  Linyao Chen et al.
  1.44
• RExBench: Can coding agents autonomously implement AI research extensions? (2025)
  Nicholas Edwards et al.
  1.28
• MathClean: A Benchmark for Synthetic Mathematical Data Cleaning (2025)
  Hao Liang et al.
  1.06
• DeepSeek-V3 Technical Report (2024)
  DeepSeek-AI et al.
  —
• WebArena: A Realistic Web Environment for Building Autonomous Agents (2023)
  Shuyan Zhou et al.
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• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (2024)
  Zhihong Shao et al.
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• Pre-training Small Base LMs with Fewer Tokens (2024)
  Sunny Sanyal et al.
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• DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data (2024)
  Huajian Xin et al.
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• Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models (2024)
  Wenhao Shi et al.
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• SciCode: A Research Coding Benchmark Curated by Scientists (2024)
  Minyang Tian et al.
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• MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models (2024)
  Pei Wang et al.
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• SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models (2024)
  Jiale Cheng et al.
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• AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling (2024)
  Zihan Liu et al.
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