Tathagata Raha

According to our database, Tathagata Raha authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Named Clinical Entity Recognition Benchmark.

Wadood M. Abdul, Marco AF Pimentel, Muhammad Umar Salman, Tathagata Raha, Clément Christophe, Praveen K. Kanithi, Nasir Hayat, Ronnie Rajan, Shadab Khan

CoRR, 2024

MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications.

Praveen K. Kanithi, Clément Christophe, Marco AF Pimentel, Tathagata Raha, Nada Saadi, Hamza Javed, Svetlana Maslenkova, Nasir Hayat, Ronnie Rajan, Shadab Khan

CoRR, 2024

Med42-v2: A Suite of Clinical LLMs.

Clément Christophe, Praveen K. Kanithi, Tathagata Raha, Shadab Khan, Marco AF Pimentel

CoRR, 2024

Beyond Metrics: A Critical Analysis of the Variability in Large Language Model Evaluation Frameworks.

Marco AF Pimentel, Clément Christophe, Tathagata Raha, Prateek Munjal, Praveen K. Kanithi, Shadab Khan

CoRR, 2024

Med42 - Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches.

Clément Christophe, Praveen K. Kanithi, Prateek Munjal, Tathagata Raha, Nasir Hayat, Ronnie Rajan, Ahmed Al-Mahrooqi, Avani Gupta, Muhammad Umar Salman, Gurpreet Gosal, Bhargav Kanakiya, Charles Chen, Natalia Vassilieva, Boulbaba Ben Amor, Marco AF Pimentel, Shadab Khan

CoRR, 2024

iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers.

Harshit Gupta, Manav Chaudhary, Shivansh Subramanian, Tathagata Raha, Vasudeva Varma

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs.

Clément Christophe, Tathagata Raha, Svetlana Maslenkova, Muhammad Umar Salman, Praveen K. Kanithi, Marco AF Pimentel, Shadab Khan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Neural Models for Factual Inconsistency Classification with Explanations.

Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes.

Tathagata Raha, Sagar Joshi, Vasudeva Varma

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Leveraging Mental Health Forums for User-level Depression Detection on Social Media.

Sravani Boinepelli, Tathagata Raha, Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Identifying COVID-19 Fake News in Social Media.

Tathagata Raha, Vijayasaradhi Indurthi, Aayush Upadhyaya, Jeevesh Kataria, Pramud Bommakanti, Vikram Keswani, Vasudeva Varma

CoRR, 2021

IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining.

Tathagata Raha, Ishan Sanjeev Upadhyay, Radhika Mamidi, Vasudeva Varma

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Task Adaptive Pretraining of Transformers for Hostility Detection.

Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma

Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020

Development of POS tagger for English-Bengali Code-Mixed data.

Tathagata Raha, Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay

CoRR, 2020

Leveraging Multilingual Transformers for Hate Speech Detection.

Sayar Ghosh Roy, Ujwal Narayan, Tathagata Raha, Zubair Abid, Vasudeva Varma

Proceedings of the Working Notes of FIRE 2020, 2020