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cs.CL2026
The Detectability Gap: Hidden Heterogeneity in Hallucination Detection Across Language Models
Pranav Darshan, Pranav A, Sravan Karthick T +2
Sampling based consistency is widely used for hallucination detection, yet aggregate performance can conceal systematic differences in which errors are detectable. This work studie…
cs.CL2026
The Temporal Tug-of-War: Visualizing and Detecting RAG Conflicts in Diffusion Models via Trajectory Variance
Sravan Karthick T, Pranav Darshan, Pranav A +2
Retrieval-Augmented Generation (RAG) introduces a specific failure mode in discrete diffusion language models: when retrieved context contradicts parametric knowledge, the iterativ…