Vatsal Raina

35 papers A* 1B 1Journal 22Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Embedding the Teacher: Distilling vLLM Preferences for Scalable Image Retrieval.
CoRR
Eric He, Akash Gupta, Adian Liusie, Vatsal Raina, Piotr Molenda, Shirom Chabra, Vyas Raina
2025 B conf
Finetuning LLMs for Comparative Assessment Tasks.
COLING
Vatsal Raina, Adian Liusie, Mark J. F. Gales
2025 J jnl
Probing the Limits of Stylistic Alignment in Vision-Language Models.
CoRR
Asma Farajidizaji, Akash Gupta, Vatsal Raina
2025 J jnl
Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation.
Comput. Biol. Medicine
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2025 J jnl
ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models.
CoRR
Jonathan Roberts, Mohammad Reza Taesiri, Ansh Sharma, Akash Gupta, Samuel Roberts, Ioana Croitoru, Simion-Vlad Bogolin, Jialu Tang, Florian Langer, Vyas Raina, Vatsal Raina, Hanyi Xiong, Vishaal Udandarao, Jingyi Lu, Shiyang Chen, Sam Purkis, Tianshuo Yan, Wenye Lin, Gyungin Shin, Qiaochu Yang, Anh Totti Nguyen, Kai Han, Samuel Albanie
2024 — conf
An Information-Theoretic Approach to Analyze NLP Classification Tasks.
ACL (1)
Luran Wang, Mark J. F. Gales, Vatsal Raina
2024 J jnl
An Information-Theoretic Approach to Analyze NLP Classification Tasks.
CoRR
Luran Wang, Mark J. F. Gales, Vatsal Raina
2024 A* conf
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons.
EMNLP
Adian Liusie, Vatsal Raina, Yassir Fathullah, Mark J. F. Gales
2024 J jnl
Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons.
CoRR
Adian Liusie, Vatsal Raina, Yassir Fathullah, Mark J. F. Gales
2024 J jnl
Finetuning LLMs for Comparative Assessment Tasks.
CoRR
Vatsal Raina, Adian Liusie, Mark J. F. Gales
2024 — conf
Is It Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models.
LREC/COLING
Asma Farajidizaji, Vatsal Raina, Mark J. F. Gales
2024 J jnl
Question Difficulty Ranking for Multiple-Choice Reading Comprehension.
CoRR
Vatsal Raina, Mark J. F. Gales
2024 J jnl
Question-Based Retrieval using Atomic Units for Enterprise RAG.
CoRR
Vatsal Raina, Mark J. F. Gales
2023 — conf
Analyzing Multiple-Choice Reading and Listening Comprehension Tests.
SLaTE
Vatsal Raina, Adian Liusie, Mark J. F. Gales
2023 J jnl
Analyzing Multiple-Choice Reading and Listening Comprehension Tests.
CoRR
Vatsal Raina, Adian Liusie, Mark J. F. Gales
2023 — conf
Assessing Distractors in Multiple-Choice Tests.
Eval4NLP
Vatsal Raina, Adian Liusie, Mark J. F. Gales
2023 J jnl
Assessing Distractors in Multiple-Choice Tests.
CoRR
Vatsal Raina, Adian Liusie, Mark J. F. Gales
2023 — conf
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models.
BioNLP@ACL
Potsawee Manakul, Yassir Fathullah, Adian Liusie, Vyas Raina, Vatsal Raina, Mark J. F. Gales
2023 J jnl
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models.
CoRR
Potsawee Manakul, Yassir Fathullah, Adian Liusie, Vyas Raina, Vatsal Raina, Mark J. F. Gales
2023 J jnl
CamChoice: A Corpus of Multiple Choice Questions and Candidate Response Distributions.
CoRR
Adian Liusie, Vatsal Raina, Andrew Mullooly, Kate M. Knill, Mark J. F. Gales
2023 J jnl
Is it Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models.
CoRR
Asma Farajidizaji, Vatsal Raina, Mark J. F. Gales
2023 — conf
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis.
ISBI
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra
2023 J jnl
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation.
CoRR
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2023 — conf
Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation.
ISBI
Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales
2023 J jnl
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation.
CoRR
Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales
2022 J jnl
"World Knowledge" in Multiple Choice Reading Comprehension.
CoRR
Adian Liusie, Vatsal Raina, Mark J. F. Gales
2022 — conf
Analyzing Biases to Spurious Correlations in Text Classification Tasks.
AACL/IJCNLP (2)
Adian Liusie, Vatsal Raina, Vyas Raina, Mark J. F. Gales
2022 — conf
Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension.
ACL (Findings)
Vatsal Raina, Mark J. F. Gales
2022 J jnl
Multiple-Choice Question Generation: Towards an Automated Assessment Framework.
CoRR
Vatsal Raina, Mark J. F. Gales
2022 J jnl
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis.
CoRR
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra
2022 J jnl
Shifts 2.0: Extending The Dataset of Real Distributional Shifts.
CoRR
Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Vatsal Raina, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou, Elena Volf
2021 J jnl
An Initial Investigation of Non-Native Spoken Question-Answering.
CoRR
Vatsal Raina, Mark J. F. Gales
2021 — conf
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.
NeurIPS Datasets and Benchmarks
Andrey Malinin, Neil Band, Yarin Gal, Mark J. F. Gales, Alexander Ganshin, German Chesnokov, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Denis Roginskiy, Mariya Shmatova, Panagiotis Tigas, Boris Yangel
2021 J jnl
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.
CoRR
Andrey Malinin, Neil Band, Alexander Ganshin, German Chesnokov, Yarin Gal, Mark J. F. Gales, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Mariya Shmatova, Panos Tigas, Boris Yangel
2020 — conf
Complementary Systems for Off-Topic Spoken Response Detection.
BEA@ACL
Vatsal Raina, Mark J. F. Gales, Kate M. Knill