Shravan Nayak

According to our database, Shravan Nayak authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics.

Shravan Nayak, Mehar Bhatia, Xiaofeng Zhang, Verena Rieser, Lisa Anne Hendricks, Sjoerd van Steenkiste, Yash Goyal, Karolina Stanczak, Aishwarya Agrawal

CoRR, June, 2025

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction.

Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodríguez, Montek Kalsi, Rabiul Awal, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar

CoRR, March, 2025

LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces.

Rashid Mushkani, Shravan Nayak, Hugo Berard, Allison Cohen, Shin Koseki, Hadrien Bertrand

CoRR, March, 2025

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks.

Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation.

Surangika Ranathunga, Shravan Nayak, Shih-Ting Cindy Huang, Yanke Mao, Tong Su, Yun-Hsiang Ray Chan, Songchen Yuan, Anthony Rinaldi, En-Shiun Annie Lee

CoRR, 2024

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks.

Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar

CoRR, 2024

Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques.

Rishika Bhagwatkar, Shravan Nayak, Reza Bayat, Alexis Roger, Daniel Z. Kaplan, Pouya Bashivan, Irina Rish

CoRR, 2024

Benchmarking Vision Language Models for Cultural Understanding.

Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design.

Rishika Bhagwatkar, Shravan Nayak, Pouya Bashivan, Irina Rish

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

2023

Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation.

Shravan Nayak, Surangika Ranathunga, Sarubi Thillainathan, Rikki Hung, Anthony Rinaldi, Yining Wang, Jonah Mackey, Andrew Ho, En-Shiun Annie Lee

CoRR, 2023

2022

Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcasts.

Debjoy Saha, Shravan Nayak, Timo Baumann

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

A Deep Dive Into Neural Synchrony Evaluation for Audio-visual Translation.

Shravan Nayak, Christian Schuler, Debjoy Saha, Timo Baumann

Proceedings of the International Conference on Multimodal Interaction, 2022

Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?

En-Shiun Annie Lee, Sarubi Thillainathan, Shravan Nayak, Surangika Ranathunga, David Ifeoluwa Adelani, Ruisi Su, Arya McCarthy

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020

A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks.

Shravan Nayak, Chanakya Ajit Ekbote, Annanya Pratap Singh Chauhan, Raghuram Bharadwaj Diddigi, Prishita Ray, Abhinava Sikdar, Sai Koti Reddy Danda, Shalabh Bhatnagar

CoRR, 2020

Stochastic Game Frameworks for Efficient Energy Management in Microgrid Networks.

Shravan Nayak, Chanakya Ajit Ekbote, Annanya Pratap Singh Chauhan, Raghuram Bharadwaj Diddigi, Prishita Ray, Abhinava Sikdar, Sai Koti Reddy Danda, Shalabh Bhatnagar

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

See me Speaking? Differentiating on Whether Words are Spoken On Screen or Off to Optimize Machine Dubbing.

Shravan Nayak, Timo Baumann, Supratik Bhattacharya, Alina Karakanta, Matteo Negri, Marco Turchi

Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

The Two Shades of Dubbing in Neural Machine Translation.

Alina Karakanta, Supratik Bhattacharya, Shravan Nayak, Timo Baumann, Matteo Negri, Marco Turchi

Proceedings of the 28th International Conference on Computational Linguistics, 2020