Steering Semantic Data Processing With DocWrangler
Shreya Shankar, Bhavya Chopra, Mawil Hasan, Stephen Lee, Bjoern Hartmann, Joseph M. Hellerstein, Aditya G. Parameswaran, Eugene Wu
2025年份
3顶会引用
摘要
intent is hard to communicat Prompts need to be detailed and dataspecific LLM behavior varies across document Requires fine-grained decomposition A B C Docs & Outputs condition discomfort_level symptoms
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引用它的顶会 Paper3
- KRAMABENCH: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data LakesEugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Om Chabra 等ICLR 2026 · 被引用 37 次
- Multi-Objective Agentic Rewrites for Unstructured Data ProcessingLindsey Linxi Wei, Shreya Shankar, Sepanta Zeighami, Yeounoh Chung 等VLDB 2026 · 被引用 15 次
- SEMA: A High-performance System for LLM-based Semantic Query ProcessingKangkang Qi, Dongyang Xie, Wenbo Li, Hao Zhang 等VLDB 2026 · 被引用 5 次
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- Design Guidelines for Prompt Engineering Text-to-Image Generative ModelsVivian Liu, Lydia B. ChiltonCHI 2022 · 被引用 586 次
- AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model PromptsTongshuang Wu, Michael Terry, Carrie Jun CaiCHI 2022 · 被引用 465 次
- The Metacognitive Demands and Opportunities of Generative AILev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott 等CHI 2024 · 被引用 279 次
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