Pratinav Seth

According to our database, Pratinav Seth authored at least 30 papers between 2021 and 2026.

Collaborative distances:

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

2026

AlignTune: Modular Toolkit for Post-Training Alignment of Large Language Models.

R. E. Zera Marveen Lyngkhoi, Chirag Chawla, Pratinav Seth, Utsav Avaiya, Soham Bhattacharjee, Mykola Khandoga, Rui Yuan, Vinay Kumar Sankarapu

CoRR, February, 2026

C-ΔΘ: Circuit-Restricted Weight Arithmetic for Selective Refusal.

Aditya Kasliwal, Pratinav Seth, Vinay Kumar Sankarapu

CoRR, February, 2026

Exploring Fine-Tuning for Tabular Foundation Models.

Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Vinay Kumar Sankarapu

Proceedings of the ACM Web Conference 2026, 2026

Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning.

Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu

Proceedings of the ACM Web Conference 2026, 2026

2025

Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning.

Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu

CoRR, November, 2025

TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models.

Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Utsav Avaiya, Vinay Kumar Sankarapu

CoRR, November, 2025

Interpretability as Alignment: Making Internal Understanding a Design Principle.

Aadit Sengupta, Pratinav Seth, Vinay Kumar Sankarapu

CoRR, September, 2025

Bridging the Gap in XAI-Why Reliable Metrics Matter for Explainability and Compliance.

Pratinav Seth, Vinay Kumar Sankarapu

CoRR, February, 2025

xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods.

Pratinav Seth, Yashwardhan Rathore, Neeraj Kumar Singh, Chintan Chitroda, Vinay Kumar Sankarapu

CoRR, February, 2025

Interpretability-Aware Pruning for Efficient Medical Image Analysis.

Nikita Malik, Pratinav Seth, Neeraj Kumar Singh, Chintan Chitroda, Vinay Kumar Sankarapu

Proceedings of the Efficient Medical Artificial Intelligence, 2025

DLBacktrace: Model Agnostic Explainability for any Deep Learning Model.

Vinay Kumar Sankarapu, Chintan Chitroda, Yashwardhan Rathore, Neeraj Kumar Singh, Pratinav Seth

Proceedings of the International Joint Conference on Neural Networks, 2025

Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery.

Pratinav Seth, Michelle P. Lin, Brefo Yaw Dwamena, Jade Boutot, Mary Kang, David Rolnick

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations.

Danush Khanna, Pratinav Seth, Sidhaarth Sredharan Murali, Aditya Kumar Guru, Siddharth Shukla, Tanuj Tyagi, Sandeep Chaurasia, Kripabandhu Ghosh

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

2024

DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models.

Vinay Kumar Sankarapu, Chintan Chitroda, Yashwardhan Rathore, Neeraj Kumar Singh, Pratinav Seth

CoRR, 2024

LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution.

Aditya Kasliwal, Ishaan Gakhar, Aryan Kamani, Pratinav Seth, Ujjwal Verma

CoRR, 2024

AgriLLM: Harnessing Transformers for Farmer Queries.

Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal

CoRR, 2024

Does the Fairness of Your Pre-Training Hold Up? Examining the Influence of Pre-Training Techniques on Skin Tone Bias in Skin Lesion Classification.

Pratinav Seth, Abhilash K. Pai

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Sailing Through Spectra: Unveiling the Potential of Multi-Spectral Information in Marine Debris Segmentation.

Dyutit Mohanty, Aditya Kasliwal, Bharath Udupa, Pratinav Seth

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers.

Hemang Malik, Gaurav Pradeep, Pratinav Seth

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract).

Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

RSM-NLP at BLP-2023 Task 2: Bangla Sentiment Analysis using Weighted and Majority Voted Fine-Tuned Transformers.

Pratinav Seth, Rashi Goel, Komal Mathur, Swetha Vemulapalli

CoRR, 2023

UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts.

Pratinav Seth, Mihir Agarwal

CoRR, 2023

Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems.

Pratinav Seth, Akshat Bhandari, Kumud Lakara

CoRR, 2023

SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers.

Sriya Rallabandi, Sanchit Singhal, Pratinav Seth

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classification of Common Mental Illnesses on Social Media Posts.

Pratinav Seth, Mihir Agarwal

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution.

Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ReFuSeg: Regularized Multi-modal Fusion for Precise Brain Tumour Segmentation.

Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava, Pratinav Seth, Adil Khan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2023

2022

Performance evaluation of deep segmentation models on Landsat-8 imagery.

Akshat Bhandari, Sriya Rallabandi, Sanchit Singhal, Aditya Kasliwal, Pratinav Seth

CoRR, 2022

UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection.

Pratinav Seth, Adil Khan, Ananya Gupta, Saurabh Kumar Mishra, Akshat Bhandari

CoRR, 2022

2021

Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data.

Kumud Lakara, Akshat Bhandari, Pratinav Seth, Ujjwal Verma

CoRR, 2021