Muhammed Razzak

According to our database, Muhammed Razzak authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

MADE: Benchmark Environments for Closed-Loop Materials Discovery.

Shreshth A. Malik, Tiarnan A. S. Doherty, Panagiotis Tigas, Muhammed Razzak, Stephen J. Roberts, Aron Walsh, Yarin Gal

CoRR, January, 2026

2025

Scaling Up Active Testing to Large Language Models.

Gabrielle Berrada, Jannik Kossen, Freddie Bickford Smith, Muhammed Razzak, Yarin Gal, Thomas Rainforth

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Simple Factuality Probes Detect Hallucinations in Long-Form Natural Language Generation.

Jiatong Han, Neil Band, Muhammed Razzak, Jannik Kossen, Tim G. J. Rudner, Yarin Gal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy.

Benedict Aaron Tjandra, Muhammed Razzak, Jannik Kossen, Kunal Handa, Yarin Gal

CoRR, 2024

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs.

Jannik Kossen, Jiatong Han, Muhammed Razzak, Lisa Schut, Shreshth A. Malik, Yarin Gal

CoRR, 2024

The Benefits and Risks of Transductive Approaches for AI Fairness.

Muhammed Razzak, Andreas Kirsch, Yarin Gal

CoRR, 2024

2022

Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt.

Sören Mindermann, Jan Markus Brauner, Muhammed Razzak, Mrinank Sharma, Andreas Kirsch, Winnie Xu, Benedikt Höltgen, Aidan N. Gomez, Adrien Morisot, Sebastian Farquhar, Yarin Gal

Proceedings of the International Conference on Machine Learning, 2022

2021

Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation.

Muhammed Razzak, Gonzalo Mateo-Garcia, Luis Gómez-Chova, Yarin Gal, Freddie Kalaitzis

CoRR, 2021

Prioritized training on points that are learnable, worth learning, and not yet learned.

Sören Mindermann, Muhammed Razzak, Winnie Xu, Andreas Kirsch, Mrinank Sharma, Adrien Morisot, Aidan N. Gomez, Sebastian Farquhar, Jan Markus Brauner, Yarin Gal

CoRR, 2021