Vishaal Udandarao

According to our database, Vishaal Udandarao authored at least 27 papers between 2019 and 2025.

Collaborative distances:

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

2025

A foundation model to predict and capture human cognition.

Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz

Nat., August, 2025

A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks.

Vishaal Udandarao, Mehdi Cherti, Shyamgopal Karthik, Jenia Jitsev, Samuel Albanie, Matthias Bethge

CoRR, June, 2025

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility.

Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, Samuel Albanie, Ameya Prabhu, Matthias Bethge

CoRR, April, 2025

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models.

Jonathan Roberts, Mohammad Reza Taesiri, Ansh Sharma, Akash Gupta, Samuel Roberts, Ioana Croitoru, Simion-Vlad Bogolin, Jialu Tang, Florian Langer, Vyas Raina, Vatsal Raina, Hanyi Xiong, Vishaal Udandarao, Jingyi Lu, Shiyang Chen, Sam Purkis, Tianshuo Yan, Wenye Lin, Gyungin Shin, Qiaochu Yang, Anh Totti Nguyen, Kai Han, Samuel Albanie

CoRR, February, 2025

Active Data Curation Effectively Distills Large-Scale Multimodal Models.

Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Hénaff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

How to Merge Your Multimodal Models Over Time?

Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities.

Adhiraj Ghosh, Sebastian Dziadzio, Ameya Prabhu, Vishaal Udandarao, Samuel Albanie, Matthias Bethge

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Centaur: a foundation model of human cognition.

Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz

CoRR, 2024

A Practitioner's Guide to Continual Multimodal Pretraining.

Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Matthias Bethge, Zeynep Akata

CoRR, 2024

Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress.

Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie

CoRR, 2024

A Practitioner's Guide to Real-World Continual Multimodal Pretraining.

Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance.

Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CiteME: Can Language Models Accurately Cite Scientific Claims?

Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Lifelong Model Evaluation in an Era of Rapid Progress.

Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Visual Data-Type Understanding does not emerge from scaling Vision-Language Models.

Vishaal Udandarao, Max F. Burg, Samuel Albanie, Matthias Bethge

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Data Contamination Report from the 2024 CONDA Shared Task.

Oscar Sainz, Iker García-Ferrero, Alon Jacovi, Jon Ander Campos, Yanai Elazar, Eneko Agirre, Yoav Goldberg, Wei-Lin Chen, Jenny Chim, Leshem Choshen, Luca D'Amico-Wong, Melissa Dell, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang

Proceedings of the First Data Contamination Workshop, 2024

2023

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models.

Vishaal Udandarao, Ankush Gupta, Samuel Albanie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Changing Landscape of Technical Education Pedagogy From Traditional to Practical e-Learning.

Anubha Gupta, Sachin Motwani, Abhishek Agarwal, Vishaal Udandarao, Tanmoy Chakraborty

Computer, 2022

2021

InPHYNet: Leveraging attention-based multitask recurrent networks for multi-label physics text classification.

Vishaal Udandarao, Abhishek Agarwal, Anubha Gupta, Tanmoy Chakraborty

Knowl. Based Syst., 2021

It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment.

Surabhi S. Nath, Vishaal Udandarao, Jainendra Shukla

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020

DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors.

Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal

CoRR, 2020

COBRA: Contrastive Bi-Modal Representation Algorithm.

Vishaal Udandarao, Abhishek Maiti, Deepak Srivatsav, Suryatej Reddy Vyalla, Yifang Yin, Rajiv Ratn Shah

CoRR, 2020

DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors.

Sarthak Bhagat, Vishaal Udandarao, Shagun Uppal, Saket Anand

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Memeify: A Large-Scale Meme Generation System.

Suryatej Reddy Vyalla, Vishaal Udandarao

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment.

Vishaal Udandarao, Mohit Agrawal, Rajesh Kumar, Rajiv Ratn Shah

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

2019

Memeify: A Large-Scale Meme Generation System.

Suryatej Reddy Vyalla, Vishaal Udandarao, Tanmoy Chakraborty

CoRR, 2019

EDUQA: Educational Domain Question Answering System Using Conceptual Network Mapping.

Abhishek Agarwal, Nikhil Sachdeva, Raj Kamal Yadav, Vishaal Udandarao, Vrinda Mittal, Anubha Gupta, Abhinav Mathur

Proceedings of the IEEE International Conference on Acoustics, 2019