Abhinav Ramesh Kashyap

According to our database, Abhinav Ramesh Kashyap authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Representation Learning of Structured Data for Medical Foundation Models.

Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan

CoRR, 2024

MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues.

Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler

CoRR, 2024

A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond.

Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering.

Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Scientific document processing: challenges for modern learning methods.

Abhinav Ramesh Kashyap, Yajing Yang, Min-Yen Kan

Int. J. Digit. Libr., December, 2023

Automated Clinical Coding for Outpatient Departments.

Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Tsung-Han Yang, Vijay Prakash Dwivedi, Wei-Hsian Yin, Jeng Wei, Stefan Winkler

CoRR, 2023

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.

Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic

CoRR, 2023

Beyond Words: A Comprehensive Survey of Sentence Representations.

Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria

CoRR, 2023

Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification.

Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler, Shao-Syuan Huang, Jie-Jyun Liu, Chih-Jen Lin

CoRR, 2023

ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation.

Ambuj Mehrish, Abhinav Ramesh Kashyap, Yingting Li, Navonil Majumder, Soujanya Poria

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

UDAPTER - Efficient Domain Adaptation Using Adapters.

Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.

Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.

Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

A Two-Stage Decoder for Efficient ICD Coding.

Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Lightweight Contextual Logical Structure Recovery.

Po-Wei Huang, Abhinav Ramesh Kashyap, Yanxia Qin, Yajing Yang, Min-Yen Kan

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer.

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Domain Divergences: A Survey and Empirical Analysis.

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

SciWING- A Software Toolkit for Scientific Document Processing.

Abhinav Ramesh Kashyap, Min-Yen Kan

Proceedings of the First Workshop on Scholarly Document Processing, 2020

ServiceMarq: Extracting Service Contributions from Call for Papers.

Shi Tian, Abhinav Ramesh Kashyap, Min-Yen Kan

Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020

2019

CloseUp - A Community-Driven Live Online Search Engine.

Christian von der Weth, Ashraf M. Abdul, Abhinav Ramesh Kashyap, Mohan S. Kankanhalli

ACM Trans. Internet Techn., 2019

2018

EPICURE - Aspect-based Multimodal Review Summarization.

Abhinav Ramesh Kashyap, Christian von der Weth, Zhiyong Cheng, Mohan S. Kankanhalli

Proceedings of the 10th ACM Conference on Web Science, 2018