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Sandeep Kumar 0009
Person information
- affiliation: Indian Institute of Technology Patna, Department of Computer Science and Engineering, India
Other persons with the same name
- Sandeep Kumar — disambiguation page
- Sandeep Kumar 0001
(aka: Sandeep Kumar Poonia) — Jagannath University, Chaksu, Jaipur, Rajasthan, India - Sandeep Kumar 0002
— Indraprastha Institute of Information Technology (IIIT-D), Delhi, India - Sandeep Kumar 0003
— National Institute of Technology Karnataka, India (and 2 more) - Sandeep Kumar 0004
— Indian Institute of Technology Roorkee, Department of Computer Science and Engineering, India - Sandeep Kumar 0005
— Indian Institute of Technology Delhi, Department of Electrical Engineering, India (and 2 more) - Sandeep Kumar 0006
— Bharat Electronics Ltd., Ghaziabad, India (and 1 more) - Sandeep Kumar 0007
— University of Hanover, Hannover, Germany - Sandeep Kumar 0008 — Purdue University, USA
- Sandeep Kumar 0010
— South Asian University, Department of Computer Science, Maidan Garhi, New Delhi, India (and 1 more)
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2020 – today
- 2025
[j2]Sandeep Kumar
, Tirthankar Ghosal, Asif Ekbal
:
Toward Automatic Dataset Discovery From Scientific Publications. IEEE Access 13: 107961-107978 (2025)
[c10]Sandeep Kumar, Samarth Garg, Sagnik Sengupta, Tirthankar Ghosal, Asif Ekbal:
MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews. NAACL (Short Papers) 2025: 944-953- 2024
[c9]Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal:
Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles. LREC/COLING 2024: 10790-10801
[c8]Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal:
'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews. EMNLP 2024: 22663-22679
[i3]Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, Asif Ekbal:
Can Large Language Models Unlock Novel Scientific Research Ideas? CoRR abs/2409.06185 (2024)
[i2]Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal:
'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews. CoRR abs/2410.09770 (2024)- 2023
[j1]Sandeep Kumar
, Tirthankar Ghosal, Asif Ekbal:
DeepMetaGen: an unsupervised deep neural approach to generate template-based meta-reviews leveraging on aspect category and sentiment analysis from peer reviews. Int. J. Digit. Libr. 24(4): 263-281 (2023)
[c7]Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal:
When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. EMNLP 2023: 16693-16704
[c6]Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal:
MuP-SciDocSum: Leveraging Multi-perspective Peer Review Summaries for Scientific Document Summarization. ICADL (2) 2023: 250-267
[i1]Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal:
When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews. CoRR abs/2310.18685 (2023)- 2022
[c5]Sandeep Kumar, Guneet Singh Kohli, Kartik Shinde, Asif Ekbal:
Team AINLPML @ MuP in SDP 2021: Scientific Document Summarization by End-to-End Extractive and Abstractive Approach. SDP@COLING 2022: 285-290
[c4]Sandeep Kumar, Hardik Arora, Tirthankar Ghosal, Asif Ekbal:
DeepASPeer: towards an aspect-level sentiment controllable framework for decision prediction from academic peer reviews. JCDL 2022: 29- 2021
[c3]Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal:
DataQuest: An Approach to Automatically Extract Dataset Mentions from Scientific Papers. ICADL 2021: 43-53
[c2]Sandeep Kumar, Tirthankar Ghosal, Prabhat Kumar Bharti, Asif Ekbal:
Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews. JCDL 2021: 270-273
[c1]Hardik Arora, Tirthankar Ghosal, Sandeep Kumar, Suraj Patwal, Phil Gooch:
INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers. SemEval@ACL/IJCNLP 2021: 502-510
Coauthor Index

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last updated on 2026-01-05 23:40 CET by the dblp team
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