Papers

• ContextBench: A Benchmark for Context Retrieval in Coding Agents (2026)
  Han Li et al.
  1.94
• K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts (2026)
  Nahyun Lee et al.
  1.94
• MemLoRA: Distilling Expert Adapters for On-Device Memory Systems (2025)
  Massimo Bini et al.
  1.28
• ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models (2024)
  Rohan Wadhawan et al.
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• MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding (2024)
  Xinyu Fang et al.
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• MovieSum: An Abstractive Summarization Dataset for Movie Screenplays (2024)
  Rohit Saxena et al.
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• Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models (2024)
  Wei Chen et al.
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• DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? (2024)
  Liqiang Jing et al.
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• M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding (2024)
  Jaemin Cho et al.
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