2 papers
cs.CL2026
Hallucinations are inevitable but can be made statistically negligible
Atsushi Suzuki, Yulan He, Feng Tian +1
Hallucinations, a phenomenon where a language model (LM) generates nonfactual content, pose a significant challenge to the practical deployment of LMs. While many empirical methods…
cs.LG2026
Test-Time Personalization: A Diagnostic Framework and Probabilistic Fix for Scaling Failures
Linhai Zhang, Yulan He
Existing approaches to LLM personalization focus on constructing better personalized models or inputs, while treating inference as a single-shot process. In this work, we study Tes…