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cs.CL2025★ 1 cited
Principled Context Engineering for RAG: Statistical Guarantees via Conformal Prediction
Debashish Chakraborty, Eugene Yang, Daniel Khashabi +2
Retrieval-Augmented Generation (RAG) enhances factual grounding in large language models (LLMs) by incorporating retrieved evidence, but LLM accuracy declines when long or noisy co…
cs.CL2024★ 1 cited
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation
Abe Bohan Hou, Orion Weller, Guanghui Qin +5
Legal professionals need to write analyses that rely on citations to relevant precedents, i.e., previous case decisions. Intelligent systems assisting legal professionals in writin…