5 citations · 5 across the 6 of their papers we have counts for
8 papers
Capturing Cardiac Cyclicity through Phase-Equivariant Self-Supervised Learning
Blaise Delaney, Dominic Dootson, Juan Jose Juan Castella +5
The cyclic structure of physiological processes offers a natural prior for self-supervised representation learning, and the cardiac cycle provides a particularly well-defined setti…
BiasTrace: Linking Reasoning Behaviours to Biased Outputs in LLMs
Varsha Ramineni, Hossein A. Rahmani, Jerome Ramos +2
LLMs exhibit social biases that can produce inaccurate and discriminatory inferences, posing risks in high-stakes applications. While prior work has made progress in measuring and…
Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data Scarcity
Blaise Delaney, Salil Patel, Yuji Xing +3
We introduce Sonata, a compact latent world model for six-axis trunk IMU representation learning under clinical data scarcity. Clinical cohorts typically comprise tens to hundreds…
The Role of Mixed-Language Documents for Multilingual Large Language Model Pretraining
Jiandong Shao, Raphael Tang, Crystina Zhang +4
Multilingual large language models achieve impressive cross-lingual performance despite largely monolingual pretraining. While bilingual data in pretraining corpora is widely belie…
Evolution Strategies at the Hyperscale
Bidipta Sarkar, Mattie Fellows, Juan Agustin Duque +17
Evolution Strategies (ES) is a class of powerful black-box optimisation methods that are highly parallelisable and can handle non-differentiable and noisy objectives. However, naïv…
Contrastive Learning for Interactive Recommendation in Fashion
Karin Sevegnani, Arjun Seshadri, Tian Wang +4
Recommender systems and search are both indispensable in facilitating personalization and ease of browsing in online fashion platforms. However, the two tools often operate indepen…
OTTers: One-turn Topic Transitions for Open-Domain Dialogue
Karin Sevegnani, David M. Howcroft, Ioannis Konstas +1
Mixed initiative in open-domain dialogue requires a system to pro-actively introduce new topics. The one-turn topic transition task explores how a system connects two topics in a c…
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)
Ondřej Dušek, Karin Sevegnani, Ioannis Konstas +1
We present a recurrent neural network based system for automatic quality estimation of natural language generation (NLG) outputs, which jointly learns to assign numerical ratings t…