VLDB 2026 Research / reviewers in the wild / expert
Ronnie Rajan
dblp:246/4638
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2026
0000-0002-4982-0451ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
Deep learning architectures and training · 64% Language models and text generation · 19% Trustworthy machine learning · 17% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training › sequence modeling › sequence generation
sequence-to-sequence generation |
1.0 | 1 | 2026 | Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text Generation · ACL (1) 2026 |
Medical and health informatics › biomedical natural language processing
medical language model |
0.9 | 1 | 2025 | Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency · EMNLP 2025 |
Natural language and speech › Language models and text generation › trustworthy language model › large language model reliability › factuality
factual consistency |
0.3 | 1 | 2026 | Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text Generation · ACL (1) 2026 |
Machine learning › Trustworthy machine learning
fairness and bias |
0.3 | 1 | 2025 | Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency · EMNLP 2025 |
Methods — techniques the papers use, named apart from their topics
bias analysis · 1.7large language model · 1.0cross-examination · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text GenerationabstractTathagata Raha, Clement Christophe, Nada Saadi, Hamza A Javed, Marco AF Pimentel, Ronnie Rajan, Praveenkumar Kanithi. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Tathagata Raha, Clément Christophe, Nada Saadi, Hamza Javed, Marco A. F. Pimentel, Ronnie Rajan, Praveenkumar Kanithi |
ACL (1) | 6 |
| 2025 | Building Trust in Clinical LLMs: Bias Analysis and Dataset TransparencyabstractSvetlana Maslenkova, Clement Christophe, Marco AF Pimentel, Tathagata Raha, Muhammad Umar Salman, Ahmed Al Mahrooqi, Avani Gupta, Shadab Khan, Ronnie Rajan, Praveenkumar Kanithi. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025. Svetlana Maslenkova, Clément Christophe, Marco A. F. Pimentel, Tathagata Raha, Muhammad Umar Salman, Ahmed Al-Mahrooqi, Avani Gupta, Shadab Khan, Ronnie Rajan, Praveen K. Kanithi |
EMNLP | 9 |
| 2021 | CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han 0001, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gozde Bozdagi Akar, Gozde Unal, Oguz Dicle, M. Alper Selver |
Medical Image Anal. | 18 |