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cs.CL2026
Unmasking the Factual-Conceptual Gap in Persian Language Models
Alireza Sakhaeirad, Ali Ma'manpoosh, Arshia Hemmat
While emerging Persian NLP benchmarks have expanded into pragmatics and politeness, they rarely distinguish between memorized cultural facts and the ability to reason about implici…
cs.CL2026
TDGNet: Hallucination Detection in Diffusion Language Models via Temporal Dynamic Graphs
Arshia Hemmat, Philip Torr, Yongqiang Chen +1
Diffusion language models (D-LLMs) offer parallel denoising and bidirectional context, but hallucination detection for D-LLMs remains underexplored. Prior detectors developed for a…