Search

Your search keyword '"Ghosal, Tirthankar"' showing total 146 results

Search Constraints

Start Over You searched for: Author "Ghosal, Tirthankar" Remove constraint Author: "Ghosal, Tirthankar"
146 results on '"Ghosal, Tirthankar"'

Search Results

1. AstroMLab 3: Achieving GPT-4o Level Performance in Astronomy with a Specialized 8B-Parameter Large Language Model

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

3. AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy

4. Can Large Language Models Unlock Novel Scientific Research Ideas?

5. pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy

6. AstroMLab 1: Who Wins Astronomy Jeopardy!?

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

15. RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification

18. Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection

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

21. Can a Machine Generate a Meta-Review? How Far Are We?

22. BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments

23. Investigations on Meta Review Generation from Peer Review Texts Leveraging Relevant Sub-tasks in the Peer Review Pipeline

24. How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts

25. Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection

27. TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection

28. An AI aid to the editors. Exploring the possibility of an AI assisted article classification system

29. Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews

30. ContriSci: A BERT-Based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers

31. PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions

32. A Consistency Analysis of Different NLP Approaches for Reviewer-Manuscript Matchmaking

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

34. ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals

36. An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining Their Appropriateness to a Journal

46. Correction to: How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts

Catalog

Books, media, physical & digital resources