🧑‍🔬 Who cites Tirthankar Ghosal

47 citations of their works from 43 papers of our library (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← Tirthankar Ghosal

1. NLPeer: A Unified Resource for the Computational Study of Peer ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Nils Dycke, Ilia Kuznetsov, Iryna Gurevych2023 · 64 citations
2. Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer ReviewComputational LinguisticsIlia Kuznetsov, Jan Buchmann, Max Eichler, et al.2022 · 54 citations
3. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
4. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
5. SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey WritingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchao Yan, Shiyang Feng, Jiakang Yuan, et al.2025 · 20 citations
6. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
7. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryarXiv:2603.08127Yougang Lyu, Xi Zhang, Xinhao Yi, et al.2026 · 10 citations
8. HypER: Literature-grounded Hypothesis Generation and Distillation with ProvenanceConference on Empirical Methods in Natural Language Processing (EMNLP)Rosni Vasu, Chandrayee Basu, Bhavana Dalvi Mishra, et al.2025 · 5 citations
9. NovBench: Evaluating Large Language Models on Academic Paper Novelty AssessmentFindings of the Association for Computational LinguisticsWenqing Wu, Yi Zhao, Yuzhuo Wang, et al.2026 · 4 citations
10. Automated Creativity Evaluation of Language Models Across Open-Ended TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Tan Min Sen, Zachary Choy Kit Chun, Syed Ali Redha Alsagoff, et al.2026 · 1 citation
11. Teaching Language Models to Forecast Research Success Through Comparative Idea EvaluationFindings of the Association for Computational LinguisticsSrujan P Mule, Aniketh Garikaparthi, Manasi Patwardhan2026

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