Papers

• Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents (2026)
  Wenxuan Ding et al.
  1.94
• Learning to Commit: Generating Organic Pull Requests via Online Repository Memory (2026)
  Mo Li et al.
  1.94
• An Empirical Study of Automating Agent Evaluation (2026)
  Kang Zhou et al.
  1.94
• SERA: Soft-Verified Efficient Repository Agents (2026)
  Ethan Shen et al.
  1.67
• 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
• Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning (2017)
  Jason D. Williams et al.
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• ChatLogo: A Large Language Model-Driven Hybrid Natural-Programming Language Interface for Agent-based Modeling and Programming (2023)
  John Chen et al.
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• Lemur: Harmonizing Natural Language and Code for Language Agents (2023)
  Yiheng Xu et al.
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• SciCode: A Research Coding Benchmark Curated by Scientists (2024)
  Minyang Tian et al.
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