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Tirthankar Ghosal

Tirthankar Ghosal has 2 papers in our library, in 2025, most of them on Language models & pretraining; often with Asif Ekbal, Sandeep Kumar.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 17 · 128 works · 961 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 47 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8016

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Oak Ridge National LaboratoryOak Ridge · United States2022–2026 · 44 paperscurrent🎓Charles UniversityPrague · Czechia2021–2023 · 39 papers🎓Indian Institute of Technology PatnaPatna · India2017–2024 · 21 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Can Large Language Models Unlock Novel Scientific Research Ideas? (2025 · 27 citations)
    Assessing whether an LLM can suggest worthwhile research directions after reading a paper is difficult. There is no reference answer, and expert review is slow, costly and cannot keep pace with new model releases. The authors build a benchmark of 1,250 recent papers from S2ORC covering Computer Science, Economics…
  2. Sparks of Science: Hypothesis Generation Using Structured Paper Data (2025 · 16 citations)
    LLMs asked to propose research ideas often produce output that is either unoriginal or impractical. Part of the problem is that no dataset has treated scientific hypothesis generation as a standard conditional text generation task. The authors build HypoGen, about 5,500 problem–hypothesis records drawn from papers at…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetTirthankar Ghosal et al.2019 · 72 citations
  2. Can Large Language Models Unlock Novel Scientific Research Ideas?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, et al.2025 · 27 citations
  3. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 47 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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