Papers

• AgenticDataBench: A Comprehensive Benchmark for Data Agents (2026)
  Zhaoyan Sun et al.
  2.00
• AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context (2026)
  Lei Zhang et al.
  1.94
• Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning (2026)
  Futing Wang et al.
  1.94
• Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? (2026)
  Jeonghye Kim et al.
  1.94
• AURA: Intent-Directed Probing for Implicit-Need Surfacing in Situated LLM Agents (2026)
  Yang Li et al.
  1.94
• Diversed Model Discovery via Structured Table Discovery (2026)
  Zhengyuan Dong et al.
  1.89
• Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models (2025)
  Sina Tayebati et al.
  1.28
• Predicting Code Coverage without Execution (2023)
  Michele Tufano et al.
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