8 papers
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…
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…
3D-Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology
Mohammad Vali Sanian, Arshia Hemmat, Amirhossein Vahidi +9
A scalable and robust 3D tissue transcriptomics profile can enable a holistic understanding of tissue organization and provide deeper insights into human biology and disease. Most…
PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning
Melika Shirian, Kianoosh Vadaei, Kian Majlessi +4
We present PrismSSL, a Python library that unifies state-of-the-art self-supervised learning (SSL) methods across audio, vision, graphs, and cross-modal settings in a single, modul…
Delta-Audit: Explaining What Changes When Models Change
Arshia Hemmat, Afsaneh Fatemi
Model updates (new hyperparameters, kernels, depths, solvers, or data) change performance, but the \emph{reason} often remains opaque. We introduce \textbf{Delta-Attribution} (\mbo…
MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment
Omid Ghahroodi, Arshia Hemmat, Marzia Nouri +8
Recent advancements in large vision-language models (VLMs) have primarily focused on English, with limited attention given to other languages. To address this gap, we introduce MEE…