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2020 – today
- 2024
[c11]Luran Wang, Mark J. F. Gales, Vatsal Raina:
An Information-Theoretic Approach to Analyze NLP Classification Tasks. ACL (1) 2024: 530-551- [c10]Asma Farajidizaji, Vatsal Raina, Mark J. F. Gales:
Is It Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models. LREC/COLING 2024: 9325-9339 - [i18]Luran Wang, Mark J. F. Gales, Vatsal Raina:
An Information-Theoretic Approach to Analyze NLP Classification Tasks. CoRR abs/2402.00978 (2024) - [i17]Vatsal Raina, Mark J. F. Gales:
Question Difficulty Ranking for Multiple-Choice Reading Comprehension. CoRR abs/2404.10704 (2024) - [i16]Adian Liusie, Vatsal Raina, Yassir Fathullah, Mark J. F. Gales:
Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons. CoRR abs/2405.05894 (2024) - [i15]Vatsal Raina, Mark J. F. Gales:
Question-Based Retrieval using Atomic Units for Enterprise RAG. CoRR abs/2405.12363 (2024) - [i14]Vatsal Raina, Adian Liusie, Mark J. F. Gales:
Finetuning LLMs for Comparative Assessment Tasks. CoRR abs/2409.15979 (2024) - 2023
- [c9]Potsawee Manakul, Yassir Fathullah, Adian Liusie, Vyas Raina, Vatsal Raina, Mark J. F. Gales:
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models. BioNLP@ACL 2023: 516-523 - [c8]Vatsal Raina, Adian Liusie, Mark J. F. Gales:
Assessing Distractors in Multiple-Choice Tests. Eval4NLP 2023: 12-22 - [c7]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller
, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. ISBI 2023: 1-5 - [c6]Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales:
Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation. ISBI 2023: 1-5 - [c5]Vatsal Raina, Adian Liusie, Mark J. F. Gales:
Analyzing Multiple-Choice Reading and Listening Comprehension Tests. SLaTE 2023: 1-5 - [i13]Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales:
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation. CoRR abs/2302.05432 (2023) - [i12]Potsawee Manakul, Yassir Fathullah, Adian Liusie, Vyas Raina, Vatsal Raina, Mark J. F. Gales:
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models. CoRR abs/2306.05317 (2023) - [i11]Adian Liusie, Vatsal Raina, Andrew Mullooly, Kate M. Knill, Mark J. F. Gales:
CamChoice: A Corpus of Multiple Choice Questions and Candidate Response Distributions. CoRR abs/2306.13047 (2023) - [i10]Vatsal Raina, Adian Liusie, Mark J. F. Gales:
Analyzing Multiple-Choice Reading and Listening Comprehension Tests. CoRR abs/2307.01076 (2023) - [i9]Asma Farajidizaji, Vatsal Raina, Mark J. F. Gales:
Is it Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models. CoRR abs/2309.12551 (2023) - [i8]Vatsal Raina, Adian Liusie, Mark J. F. Gales:
Assessing Distractors in Multiple-Choice Tests. CoRR abs/2311.04554 (2023) - [i7]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra:
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR abs/2311.08931 (2023) - 2022
- [c4]Vatsal Raina, Mark J. F. Gales:
Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension. ACL (Findings) 2022: 1020-1034 - [c3]Adian Liusie, Vatsal Raina, Vyas Raina, Mark J. F. Gales:
Analyzing Biases to Spurious Correlations in Text Classification Tasks. AACL/IJCNLP (2) 2022: 78-84 - [i6]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:
Shifts 2.0: Extending The Dataset of Real Distributional Shifts. CoRR abs/2206.15407 (2022) - [i5]Vatsal Raina, Mark J. F. Gales:
Multiple-Choice Question Generation: Towards an Automated Assessment Framework. CoRR abs/2209.11830 (2022) - [i4]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis. CoRR abs/2211.04825 (2022) - [i3]Adian Liusie, Vatsal Raina, Mark J. F. Gales:
"World Knowledge" in Multiple Choice Reading Comprehension. CoRR abs/2211.07040 (2022) - 2021
- [c2]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:
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. NeurIPS Datasets and Benchmarks 2021 - [i2]Vatsal Raina, Mark J. F. Gales:
An Initial Investigation of Non-Native Spoken Question-Answering. CoRR abs/2107.04691 (2021) - [i1]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:
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. CoRR abs/2107.07455 (2021) - 2020
- [c1]Vatsal Raina, Mark J. F. Gales, Kate M. Knill:
Complementary Systems for Off-Topic Spoken Response Detection. BEA@ACL 2020: 41-51
Coauthor Index
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