Tirthankar Ghosal
28 papers · 2018–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 39% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Tirthankar Ghosal?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Asif Ekbal, Sandeep Kumar, Rajeev Verma
11 papers
· 2018–2025
· EMNLP, AACL, COLING
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Can Large Language Models Unlock Novel Scientific Research Ideas?
EMNLP 2025
MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews.
NAACL 2025
Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles
COLING 2024
‘Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews
EMNLP 2024
APCS: Towards Argument Based Pros and Cons Summarization of Peer Reviews
AACL 2023
When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews
EMNLP 2023
MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection
AACL 2022
The lack of theory is painful: Modeling Harshness in Peer Review Comments
AACL 2022
INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers
SemEval 2021
DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions
ACL 2019
Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection
COLING 2018