everything

2026

MLCB 2026 Oral shared first author

3D-Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology

Mohammad Vali Sanian*, Arshia Hemmat*, Amirhossein Vahidi*, Jonas Maaskola, Jimmy Tsz Hang Lee, Stanislaw Makarchuk, Yeliz Demirci, Nana-Jane Chipampe, Muzlifah Haniffa, Omer Bayraktar, Lassi Paavolainen, Mohammad Lotfollahi

HoloTea imputes spot-level gene expression from H&E while looking at the neighbouring sections: morphologically matching spots on adjacent slides are retrieved and fused through a lightweight ControlNet, so the conditioning follows anatomical continuity rather than treating each slice as an island.

arxivpapermore
@article{sanian2025holotea,
  title   = {3D-Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology},
  author  = {Sanian, Mohammad Vali and Hemmat, Arshia and Vahidi, Amirhossein and Maaskola, Jonas and Lee, Jimmy Tsz Hang and Makarchuk, Stanislaw and Demirci, Yeliz and Chipampe, Nana-Jane and Haniffa, Muzlifah and Bayraktar, Omer and Paavolainen, Lassi and Lotfollahi, Mohammad},
  journal = {arXiv preprint arXiv:2511.14613},
  year    = {2025}
}

2025

IEEE IoT 2025 Oral first author

Advanced Mutation Testing with Zero and Few-Shot Evaluation Using GPT-4

Arshia Hemmat, Fatame Aghababaei, Mohammadreza Sharbaf

ZeMut generates mutants from structured prompts and outperforms PIT and muJava on several hard cases across twenty classic algorithms.

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NeurIPS 2025 Workshop

NeurIPS 2025 Workshop VLMs for Real-World Data, spotlight shared first author

From Scenes to Semantics: PersianCLEVR for Bilingual 3D Visual Reasoning

Kianoosh Vadaei, Melika Shirian, Arshia Hemmat, Mohammad Hassan Heydari, Ali Mamanpoosh, Afsaneh Fatemi

A bilingual Persian and English benchmark for compositional 3D visual reasoning, testing whether scene understanding survives a change of language.

more

Preprint

MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment

Omid Ghahroodi, Arshia Hemmat, Marzia Nouri, Seyed M. H. Hosseini, Doratossadat Dastgheib, Mohammad Vali Sanian, Alireza Sahebi, Reihaneh Zohrabi, Mohammad Hossein Rohban, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah

The first large-scale Persian multimodal benchmark: roughly 7.5k Persian and 3k English questions with difficulty metadata and recorded student success rates.

arxivmore
NeurIPS 2025 Workshop

NeurIPS 2025 Workshop Evaluation of World Models first author

ScenePhys: Controllable Physics Videos for World-Model Evaluation

Arshia Hemmat, Emad Aghahosseini, Alireza Nasri, Mohammad Hossein Shaker Ardakani, Amirmasoud Rismanchian, Ali Mamanpoosh, Afsaneh Fatemi

382 controllable simulation clips and 1,146 expert-validated questions covering conceptual, numerical and error-detection reasoning, scored under a strict rubric.

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IJCNLP-AACL 2025 Main conference first author

VAGUE-Gate: A Plug-and-Play Local-Privacy Shield for Retrieval-Augmented Generation

Arshia Hemmat, Matin Moqadas, Ali Mamanpoosh, Amirmasoud Rismanchian, Afsaneh Fatemi

A client-side epsilon-local differential privacy gate that rewrites retrieved context before it reaches the model, preserving end-to-end guarantees under post-processing across 32 pipeline variants.

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2024

Preprint

Preprint

CLIP Exhibits Improved Compositional Generalization Through Representation Disentanglement

Reza Abbasi, Amirarshia Hemmat, Mahdi Samiei, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

How much of CLIP's compositional generalisation can be traced to disentangled representations rather than data scale.

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NeurIPS 2024 Datasets and Benchmarks Track first author

Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models

Arshia Hemmat, Adam Davies, Tom A. Lamb, Jianhao Yuan, Philip Torr, Ashkan Khakzar, Francesco Pinto

IllusionBench hides letters, faces and animals inside ordinary scenes. Human annotators read the shapes almost perfectly; leading vision-language models do not.

paperarxivcodeproject pagemore
@inproceedings{hemmat2024hidden,
  title     = {Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models},
  author    = {Hemmat, Arshia and Davies, Adam and Lamb, Tom A. and Yuan, Jianhao and Torr, Philip and Khakzar, Ashkan and Pinto, Francesco},
  booktitle = {Advances in Neural Information Processing Systems 37, Datasets and Benchmarks Track},
  year      = {2024}
}