Papers

• GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models (2025)
  GLM-4. 5 Team et al.
  5.10
• BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models (2025)
  Xu Huang et al.
  2.87
• WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging (2025)
  Ahmed Elhady et al.
  2.87
• NGM: A Plug-and-Play Training-Free Memory Module for LLMs (2026)
  Yuwen Qu et al.
  1.94
• FastKernels: Benchmarking GPU Kernel Generation in Production (2026)
  Gabriele Oliaro et al.
  1.94
• Visual Programmability: A Guide for Code-as-Thought in Chart Understanding (2025)
  Bohao Tang et al.
  1.28
• Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents (2025)
  Yueqi Song et al.
  1.28
• R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing (2025)
  Tianyu Fu et al.
  1.22
• Large-Scale Data Selection for Instruction Tuning (2025)
  Hamish Ivison et al.
  1.11
• Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts (2024)
  Tong Zhu et al.
  —
• Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning (2024)
  Wei An et al.
  —
• Lemur: Harmonizing Natural Language and Code for Language Agents (2023)
  Yiheng Xu et al.
  —
• CodecLM: Aligning Language Models with Tailored Synthetic Data (2024)
  Zifeng Wang et al.
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• OpenDevin: An Open Platform for AI Software Developers as Generalist Agents (2024)
  Xingyao Wang et al.
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• AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling (2024)
  Zihan Liu et al.
  —