Vatsal Raina

Orcid: 0000-0002-3422-6513

According to our database1, Vatsal Raina authored at least 22 papers between 2020 and 2025.

Collaborative distances:

Timeline

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2021
2022
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2024
2025
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Links

On csauthors.net:

Bibliography

2025
Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation.
Comput. Biol. Medicine, 2025

Finetuning LLMs for Comparative Assessment Tasks.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Question-Based Retrieval using Atomic Units for Enterprise RAG.
CoRR, 2024

Question Difficulty Ranking for Multiple-Choice Reading Comprehension.
CoRR, 2024

Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Is It Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

An Information-Theoretic Approach to Analyze NLP Classification Tasks.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
CamChoice: A Corpus of Multiple Choice Questions and Candidate Response Distributions.
CoRR, 2023

Analyzing Multiple-Choice Reading and Listening Comprehension Tests.
Proceedings of the 9th Workshop on Speech and Language Technology in Education, 2023

Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Assessing Distractors in Multiple-Choice Tests.
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 2023

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
"World Knowledge" in Multiple Choice Reading Comprehension.
CoRR, 2022

Multiple-Choice Question Generation: Towards an Automated Assessment Framework.
CoRR, 2022

Shifts 2.0: Extending The Dataset of Real Distributional Shifts.
CoRR, 2022

Analyzing Biases to Spurious Correlations in Text Classification Tasks.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.
CoRR, 2021

An Initial Investigation of Non-Native Spoken Question-Answering.
CoRR, 2021

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020
Complementary Systems for Off-Topic Spoken Response Detection.
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2020


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