Pratinav Seth

38 papers A* 4B 1Journal 24Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
AlignTune: Modular Toolkit for Post-Training Alignment of Large Language Models.
CoRR
R. E. Zera Marveen Lyngkhoi, Chirag Chawla, Pratinav Seth, Utsav Avaiya, Soham Bhattacharjee, Mykola Khandoga, Rui Yuan, Vinay Kumar Sankarapu
2026 J jnl
C-ΔΘ: Circuit-Restricted Weight Arithmetic for Selective Refusal.
CoRR
Aditya Kasliwal, Pratinav Seth, Vinay Kumar Sankarapu
2026 A* conf
Exploring Fine-Tuning for Tabular Foundation Models.
WWW
Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Vinay Kumar Sankarapu
2026 J jnl
Exploring Fine-Tuning for Tabular Foundation Models.
CoRR
Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Vinay Kumar Sankarapu
2026 A* conf
Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning.
WWW
Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu
2025 A* conf
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery.
ICML
Pratinav Seth, Michelle P. Lin, Brefo Yaw Dwamena, Jade Boutot, Mary Kang, David Rolnick
2025 J jnl
Bridging the Gap in XAI-Why Reliable Metrics Matter for Explainability and Compliance.
CoRR
Pratinav Seth, Vinay Kumar Sankarapu
2025 B conf
DLBacktrace: Model Agnostic Explainability for any Deep Learning Model.
IJCNN
Vinay Kumar Sankarapu, Chintan Chitroda, Yashwardhan Rathore, Neeraj Kumar Singh, Pratinav Seth
2025 J jnl
Interpretability as Alignment: Making Internal Understanding a Design Principle.
CoRR
Aadit Sengupta, Pratinav Seth, Vinay Kumar Sankarapu
2025 — conf
Interpretability-Aware Pruning for Efficient Medical Image Analysis.
EMA4MICCAI
Nikita Malik, Pratinav Seth, Neeraj Kumar Singh, Chintan Chitroda, Vinay Kumar Sankarapu
2025 J jnl
Interpretability-Aware Pruning for Efficient Medical Image Analysis.
CoRR
Nikita Malik, Pratinav Seth, Neeraj Kumar Singh, Chintan Chitroda, Vinay Kumar Sankarapu
2025 J jnl
Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning.
CoRR
Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu
2025 J jnl
Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning.
CoRR
Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu
2025 — conf
SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations.
ACL (2)
Danush Khanna, Pratinav Seth, Sidhaarth Sredharan Murali, Aditya Kumar Guru, Siddharth Shukla, Tanuj Tyagi, Sandeep Chaurasia, Kripabandhu Ghosh
2025 J jnl
SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations.
CoRR
Danush Khanna, Pratinav Seth, Sidhaarth Sredharan Murali, Aditya Kumar Guru, Siddharth Shukla, Tanuj Tyagi, Sandeep Chaurasia, Kripabandhu Ghosh
2025 J jnl
TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models.
CoRR
Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Utsav Avaiya, Vinay Kumar Sankarapu
2025 J jnl
xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods.
CoRR
Pratinav Seth, Yashwardhan Rathore, Neeraj Kumar Singh, Chintan Chitroda, Vinay Kumar Sankarapu
2024 J jnl
AgriLLM: Harnessing Transformers for Farmer Queries.
CoRR
Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal
2024 J jnl
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery.
CoRR
Pratinav Seth, Michelle P. Lin, Brefo Yaw Dwamena, Jade Boutot, Mary Kang, David Rolnick
2024 J jnl
DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models.
CoRR
Vinay Kumar Sankarapu, Chintan Chitroda, Yashwardhan Rathore, Neeraj Kumar Singh, Pratinav Seth
2024 — conf
Does the Fairness of Your Pre-Training Hold Up? Examining the Influence of Pre-Training Techniques on Skin Tone Bias in Skin Lesion Classification.
WACV (Workshops)
Pratinav Seth, Abhilash K. Pai
2024 — conf
HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers.
BioNLP@ACL
Hemang Malik, Gaurav Pradeep, Pratinav Seth
2024 A* conf
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract).
AAAI
Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi
2024 J jnl
LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution.
CoRR
Aditya Kasliwal, Ishaan Gakhar, Aryan Kamani, Pratinav Seth, Ujjwal Verma
2024 — conf
Sailing Through Spectra: Unveiling the Potential of Multi-Spectral Information in Marine Debris Segmentation.
Tiny Papers @ ICLR
Dyutit Mohanty, Aditya Kasliwal, Bharath Udupa, Pratinav Seth
2023 J jnl
Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems.
CoRR
Pratinav Seth, Akshat Bhandari, Kumud Lakara
2023 — conf
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution.
CVPR Workshops
Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal
2023 J jnl
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution.
CoRR
Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal
2023 J jnl
RSM-NLP at BLP-2023 Task 2: Bangla Sentiment Analysis using Weighted and Majority Voted Fine-Tuned Transformers.
CoRR
Pratinav Seth, Rashi Goel, Komal Mathur, Swetha Vemulapalli
2023 J jnl
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation.
CoRR
Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava, Pratinav Seth, Adil Khan
2023 — conf
ReFuSeg: Regularized Multi-modal Fusion for Precise Brain Tumour Segmentation.
BrainLes/SWITCH@MICCAI
Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava, Pratinav Seth, Adil Khan
2023 — conf
SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers.
SemEval@ACL
Sriya Rallabandi, Sanchit Singhal, Pratinav Seth
2023 J jnl
SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers.
CoRR
Sriya Rallabandi, Sanchit Singhal, Pratinav Seth
2023 J jnl
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts.
CoRR
Pratinav Seth, Mihir Agarwal
2023 — conf
Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classification of Common Mental Illnesses on Social Media Posts.
Tiny Papers @ ICLR
Pratinav Seth, Mihir Agarwal
2022 J jnl
Performance evaluation of deep segmentation models on Landsat-8 imagery.
CoRR
Akshat Bhandari, Sriya Rallabandi, Sanchit Singhal, Aditya Kasliwal, Pratinav Seth
2022 J jnl
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection.
CoRR
Pratinav Seth, Adil Khan, Ananya Gupta, Saurabh Kumar Mishra, Akshat Bhandari
2021 J jnl
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data.
CoRR
Kumud Lakara, Akshat Bhandari, Pratinav Seth, Ujjwal Verma