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Manav Nitin Kapadnis
Manav Nitin Kapadnis
Student at Language Technologies Institute, Carnegie Mellon University
Bestätigte E-Mail-Adresse bei andrew.cmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Fine-grained intent classification in the legal domain
A Mullick, A Nandy, MN Kapadnis, S Patnaik, R Raghav
arXiv preprint arXiv:2205.03509, 2022
92022
Team enigma at argmining-emnlp 2021: Leveraging pre-trained language models for key point matching
MN Kapadnis, S Patnaik, SS Panigrahi, V Madhavan, A Nandy
arXiv preprint arXiv:2110.12370, 2021
72021
Applications of artificial intelligence in medical imaging
A Subasi
Academic Press, 2022
42022
An evaluation framework for legal document summarization
A Mullick, A Nandy, MN Kapadnis, S Patnaik, R Raghav, R Kar
arXiv preprint arXiv:2205.08478, 2022
42022
Enolp musk@ smm4h’22: Leveraging pre-trained language models for stance and premise classification
M Das, A Mangrulkar, I Manchanda, M Kapadnis, S Patnaik
Proceedings of The Seventh Workshop on Social Media Mining for Health …, 2022
32022
Alzheimer’s disease detection using artificial intelligence
A Subasi, MN Kapadnis, AK Bulbul
Augmenting neurological disorder prediction and rehabilitation using …, 2022
32022
Artificial intelligence based Alzheimer’s disease detection using deep feature extraction
MN Kapadnis, A Bhattacharya, A Subasi
Applications of Artificial Intelligence in Medical Imaging 1, 333-352, 2022
22022
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text
A Nandy, MN Kapadnis, P Goyal, N Ganguly
arXiv preprint arXiv:2310.14326, 2023
12023
SERPENT-VLM: Self-Refining Radiology Report Generation Using Vision Language Models
MN Kapadnis, S Patnaik, A Nandy, S Ray, P Goyal, D Sheet
arXiv preprint arXiv:2404.17912, 2024
2024
$ FPDM $: Domain-Specific Fast Pre-training Technique using Document-Level Metadata
A Nandy, MN Kapadnis, S Patnaik, YP Butala, P Goyal, N Ganguly
arXiv preprint arXiv:2306.06190, 2023
2023
Compositional Committees of Tiny Networks
GH Seng, T Maul, MN Kapadnis
Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021
2021
NOISY MULTI-VIEW CONTRASTIVE LEARNING FRAMEWORK FOR ENHANCING TOP-K RECOMMENDATION
MN Kapadnis, P Biswas, N Onoe
*** FastDoc***: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy
A Nandy, MN Kapadnis, S Patnaik, YP Butala, P Goyal, N Ganguly
Transactions on Machine Learning Research, 0
$\textbf {\emph {CLMSM}} $: A Multi-Task Learning Framework for Pre-training on Procedural Text
A Nandy, MN Kapadnis, P Goyal, N Ganguly
The 2023 Conference on Empirical Methods in Natural Language Processing, 0
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