Papers

• DataPrep-Bench: Benchmarking LLMs as Training Data Preparators (2026)
  Hao Liang et al.
  4.39
• Pre-Hoc Predictions in AutoML: Leveraging LLMs to Enhance Model Selection and Benchmarking for Tabular datasets (2025)
  Yannis Belkhiter et al.
  1.50
• BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation (2025)
  Eunsu Kim et al.
  1.28
• FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language (2025)
  Guilherme Penedo et al.
  1.28
• Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents (2025)
  Yueqi Song et al.
  1.28
• DB-BERT: a Database Tuning Tool that "Reads the Manual" (2021)
  Immanuel Trummer
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• Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering (2023)
  Fangkai Yang et al.
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• FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering (2023)
  Zhenyu Li et al.
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• The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale (2024)
  Guilherme Penedo et al.
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• Data-Prep-Kit: getting your data ready for LLM application development (2024)
  David Wood et al.
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• Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning (2024)
  Joongwon Kim et al.
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• LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs (2024)
  Yushi Bai et al.
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• RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering (2024)
  Pratyush Kumar et al.
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• MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering (2024)
  Jun Shern Chan et al.
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• UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages (2024)
  Bethel Melesse Tessema et al.
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