Key papers

• Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering (2026)
  Xinyu Zhu et al.
  1.94
• POINTS-GUI-G: GUI-Grounding Journey (2026)
  Zhongyin Zhao et al.
  1.94
• SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale (2026)
  Ibragim Badertdinov et al.
  1.94
• ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents (2026)
  Hao Zhang et al.
  1.94
• SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents (2026)
  Bingchen Zhao et al.
  1.94
• SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions (2026)
  Mohit Raghavendra et al.
  1.94
• Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory (2026)
  Jiaqi Liu et al.
  1.83
• Synthetic Sandbox for Training Machine Learning Engineering Agents (2026)
  Yuhang Zhou et al.
  1.83
• OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models (2026)
  Yufeng Zhong et al.
  1.67
• SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning (2025)
  Peixian Ma et al.
  1.28
• AI-Driven Scholarly Peer Review via Persistent Workflow Prompting, Meta-Prompting, and Meta-Reasoning (2025)
  Evgeny Markhasin
  1.28
• Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks (2025)
  Hongyuan Tao et al.
  1.28
• FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow (2025)
  Haoyu Sun et al.
  1.28
• Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers (2025)
  Daniel D'souza et al.
  1.28
• RExBench: Can coding agents autonomously implement AI research extensions? (2025)
  Nicholas Edwards et al.
  1.28
• SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution (2025)
  Han Li et al.
  1.28
• VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use (2025)
  Dongfu Jiang et al.
  1.28
• Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents (2025)
  Yueqi Song et al.
  1.28
• Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning (2025)
  Yihe Deng et al.
  1.28
• ChatGPT for Robotics: Design Principles and Model Abilities (2023)
  Sai Vemprala et al.
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• Predicting Code Coverage without Execution (2023)
  Michele Tufano et al.
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• Interactive Task Planning with Language Models (2023)
  Boyi Li et al.
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• Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents (2024)
  Kexun Zhang et al.
  —
• HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale (2024)
  Huy Nhat Phan et al.
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• CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs (2024)
  Dung Nguyen Manh et al.
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• Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level (2024)
  Antoine Grosnit et al.
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