2 papers
cs.CL2026
Hallucination, Monofacts, and Miscalibration: An Empirical Investigation
Miranda Muqing Miao, Michael Kearns
Hallucinated facts in large language models (LLMs) have recently been shown to obey a statistical lower bound determined by the monofact rate (related to the classical Good-Turing…
cs.CL2025
Multilingual Retrieval Augmented Generation for Culturally-Sensitive Tasks: A Benchmark for Cross-lingual Robustness
Bryan Li, Fiona Luo, Samar Haider +7
The paradigm of retrieval-augmented generated (RAG) helps mitigate hallucinations of large language models (LLMs). However, RAG also introduces biases contained within the retrieve…