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 (ICASSP, 2019)

Memeify: A Large-Scale Meme Generation System. - Suryatej Reddy Vyalla; Vishaal Udandarao; Tanmoy Chakraborty 002 (CoRR, 2019)

On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment. - Vishaal Udandarao; Mohit Agrawal; Rajesh Kumar; Rajiv Ratn Shah (BigMM, 2020)

Memeify: A Large-Scale Meme Generation System. - Suryatej Reddy Vyalla; Vishaal Udandarao (COMAD/CODS, 2020)

DisCont: Self-Supervised Visual Attribute Disentanglement Using Context Vectors. - Sarthak Bhagat; Vishaal Udandarao; Shagun Uppal; Saket Anand (ECCV Workshops (6), 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 (CoRR, 2020)

It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment. - Surabhi S. Nath; Vishaal Udandarao; Jainendra Shukla (COMAD/CODS, 2021)

InPHYNet: Leveraging attention-based multitask recurrent networks for multi-label physics text classification. - Vishaal Udandarao; Abhishek Agarwal; Anubha Gupta; Tanmoy Chakraborty 002 (Knowl. Based Syst., 2021)

Changing Landscape of Technical Education Pedagogy From Traditional to Practical e-Learning. - Anubha Gupta; Sachin Motwani; Abhishek Agarwal; Vishaal Udandarao; Tanmoy Chakraborty 002 (Computer, 2022)

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models. - Vishaal Udandarao; Ankush Gupta 001; Samuel Albanie (ICCV, 2023)

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; et al. (CONDA, 2024)

Visual Data-Type Understanding does not emerge from scaling Vision-Language Models. - Vishaal Udandarao; Max F. Burg; Samuel Albanie; Matthias Bethge (ICLR, 2024)

Efficient Lifelong Model Evaluation in an Era of Rapid Progress. - Ameya Prabhu; Vishaal Udandarao; Philip Torr 001; Matthias Bethge; Adel Bibi; Samuel Albanie (NeurIPS, 2024)

CiteME: Can Language Models Accurately Cite Scientific Claims? - Ori Press; Andreas Hochlehnert; Ameya Prabhu; Vishaal Udandarao; Ofir Press; Matthias Bethge (NeurIPS, 2024)

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance. - Vishaal Udandarao; Ameya Prabhu; Adhiraj Ghosh; Yash Sharma 001; Philip Torr 001; Adel Bibi; Samuel Albanie; Matthias Bethge (NeurIPS, 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 (NeurIPS, 2024)

Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress. - Ameya Prabhu; Vishaal Udandarao; Philip Torr 001; Matthias Bethge; Adel Bibi; Samuel Albanie (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)

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 001; Susanne Haridi; et al. (CoRR, 2024)

ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities. - Adhiraj Ghosh; Sebastian Dziadzio; Ameya Prabhu; Vishaal Udandarao; Samuel Albanie; Matthias Bethge (ACL (1), 2025)

How to Merge Your Multimodal Models Over Time? - Sebastian Dziadzio; Vishaal Udandarao; Karsten Roth; Ameya Prabhu; Zeynep Akata; Samuel Albanie; Matthias Bethge (CVPR, 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 (CVPR, 2025)

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models. - Jonathan Roberts 004; Mohammad Reza Taesiri; Ansh Sharma; Akash Gupta; Samuel Roberts; Ioana Croitoru; Simion-Vlad Bogolin; Jialu Tang; Florian Langer; Vyas Raina; Vatsal Raina; Hanyi Xiong; et al. (CoRR, 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, 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, 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 001; Susanne Haridi; et al. (Nat., 2025)