Sandeep Kumar

According to our database, Sandeep Kumar authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Toward Automatic Dataset Discovery From Scientific Publications.

Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal

IEEE Access, 2025

MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews.

Sandeep Kumar, Samarth Garg, Sagnik Sengupta, Tirthankar Ghosal, Asif Ekbal

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Can Large Language Models Unlock Novel Scientific Research Ideas?

Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, Asif Ekbal

CoRR, 2024

'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews.

Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles.

Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

DeepMetaGen: an unsupervised deep neural approach to generate template-based meta-reviews leveraging on aspect category and sentiment analysis from peer reviews.

Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal

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

When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews.

Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal

CoRR, 2023

MuP-SciDocSum: Leveraging Multi-perspective Peer Review Summaries for Scientific Document Summarization.

Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal

Proceedings of the Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration, 2023

When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews.

Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

DeepASPeer: towards an aspect-level sentiment controllable framework for decision prediction from academic peer reviews.

Sandeep Kumar, Hardik Arora, Tirthankar Ghosal, Asif Ekbal

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Team AINLPML @ MuP in SDP 2021: Scientific Document Summarization by End-to-End Extractive and Abstractive Approach.

Sandeep Kumar, Guneet Singh Kohli, Kartik Shinde, Asif Ekbal

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

2021

INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers.

Hardik Arora, Tirthankar Ghosal, Sandeep Kumar, Suraj Patwal, Phil Gooch

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews.

Sandeep Kumar, Tirthankar Ghosal, Prabhat Kumar Bharti, Asif Ekbal

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

DataQuest: An Approach to Automatically Extract Dataset Mentions from Scientific Papers.

Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal

Proceedings of the Towards Open and Trustworthy Digital Societies, 2021