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cs.CL2026
Adaptive Transfer of Representational Signatures for LLM Reliability Detection
Yongtong Li, Yixuan Florence Wu, Jiawei Zhang +1
Large language models (LLMs) are reported to be susceptible to reliability issues including hallucinations and reasoning errors. Existing quality detectors can predict unreliable o…
cs.CL2026
Understanding Why Language Models Hallucinate: Testing Reasoning Against Priors
Yangfan Hu, Xuhan Tong, Haoyue Bai +5
Large language models often produce hallucinated answers that violate prompt-level constraints. A key diagnostic question is whether these failures reflect missing knowledge, or wh…