Puria Radmard

According to our database, Puria Radmard authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

A transformer architecture alteration to incentivise externalised reasoning.

Elizabeth Pavlova, Mariia Koroliuk, Karthik Viswanathan, Cameron Tice, Edward James Young, Puria Radmard

CoRR, March, 2026

Diagnosing Pathological Chain-of-Thought in Reasoning Models.

Manqing Liu, David Williams-King, Ida Caspary, Linh Le, Hannes Whittingham, Puria Radmard, Cameron Tice, Edward James Young

CoRR, February, 2026

Chain-of-thought obfuscation learned from output supervision can generalise to unseen tasks.

Nathaniel Mitrani Hadida, Sassan Bhanji, Cameron Tice, Puria Radmard

CoRR, January, 2026

Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment.

Cameron Tice, Puria Radmard, Samuel Ratnam, Andy Kim, David Africa, Kyle O'Brien

CoRR, January, 2026

Organizing across disciplines to tackle shared computational challenges.

Wojtek Treyde, Aleksy Kwiatkowski, Jascha Achterberg, Danyal Akarca, Martin Buttenschoen, Rory T. Byrne, Kieran Didi, Kristina Kordova, Jakub Lála, Jonathon Langford, Austin M. Mroz, Puria Radmard, Filip T. Szczypinski, Eva Sevenster, Inga Van den Bossche, Michal Wójcik

Patterns, 2026

2025

Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors.

Puria Radmard, Paul M. Bays, Máté Lengyel

CoRR, December, 2025

Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia.

Subati Abulikemu, Puria Radmard, Michail Mamalakis, John Suckling

CoRR, November, 2025

Large language models can learn and generalize steganographic chain-of-thought under process supervision.

Joey Skaf, Luis Ibañez-Lissen, Robert McCarthy, Connor Watts, Vasil Georgiv, Hannes Whittingham, Lorena González-Manzano, David Lindner, Cameron Tice, Edward James Young, Puria Radmard

CoRR, June, 2025

A flexible Bayesian non-parametric mixture model reveals multiple dependencies of swap errors in visual working memory.

Puria Radmard, Paul M. Bays, Máté Lengyel

CoRR, May, 2025

2024

Recurrent neural network dynamical systems for biological vision.

Wayne Soo, Aldo Battista, Puria Radmard, Xiao-Jing Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies.

Yassir Fathullah, Puria Radmard, Adian Liusie, Mark J. F. Gales

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Who Needs Decoders? Efficient Estimation of Sequence-level Attributes.

Yassir Fathullah, Puria Radmard, Adian Liusie, Mark J. F. Gales

CoRR, 2023

2021

Subsequence Based Deep Active Learning for Named Entity Recognition.

Puria Radmard, Yassir Fathullah, Aldo Lipani

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021