Subsequence Based Deep Active Learning for Named Entity Recognition. - Puria Radmard; Yassir Fathullah; Aldo Lipani (ACL/IJCNLP (1), 2021)

Who Needs Decoders? Efficient Estimation of Sequence-level Attributes. - Yassir Fathullah; Puria Radmard; Adian Liusie; Mark J. F. Gales (CoRR, 2023)

Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies. - Yassir Fathullah; Puria Radmard; Adian Liusie; Mark J. F. Gales (EACL (1), 2024)

Recurrent neural network dynamical systems for biological vision. - Wayne Soo; Aldo Battista; Puria Radmard; Xiao-Jing Wang (NeurIPS, 2024)

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, 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, 2025)