1 citations · 1 across the 1 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Conf-Gen: Conformal Uncertainty Quantification for Generative Models
Gabriel Loaiza-Ganem, Kevin Zhang, Wei Cui +2
Conformal prediction (CP) and its extension, conformal risk control (CRC), are established frameworks for quantifying uncertainty in supervised machine learning through formal guar…
cs.CL2026
CanLegalRAGBench: Evaluating Retrieval-Augmented Generation on Canadian Case Law
Ethan Zhao, Maksym Taranukhin, Wei Cui +2
RAG-based legal assistants have been growing in popularity, but LLM hallucinations remain a key issue and potentially undermines justice. While benchmarks have been developed to ev…