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6 papers
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1167
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
A general locomotion control framework for multi-legged locomotors
Baxi Chong, Yasemin O. Aydin, Jennifer M. Rieser +13
Serially connected robots are promising candidates for performing tasks in confined spaces such as search-and-rescue in large-scale disasters. Such robots are typically limbless, a…
Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes
Noel Kennedy, Imogen Schofield, Dave C. Brodbelt +2
We experiment with new methods for learning how related words are positioned relative to each other in word embedding spaces. Previous approaches learned constant vector offsets: v…
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
Laura-Jayne Gardiner, Anna Paola Carrieri, Jenny Wilshaw +3
Biomedical data, particularly in the field of genomics, has characteristics which make it challenging for machine learning applications - it can be sparse, high dimensional and noi…
Model-based geometrical optimisation and in vivo validation of a spatially selective multielectrode cuff array for vagus nerve neuromodulation
Kirill Aristovich, Matteo Donega, Cathrine Fjordbakk +8
Background. Neuromodulation by electrical stimulation of the human cervical vagus nerve may be limited by adverse side effects due to stimulation of off-target organs. It may be po…
Understanding Chicken Walks on n x n Grid: Hamiltonian Paths, Discrete Dynamics and Rectifiable Paths
Arni S. R. Srinivasa Rao, Fiona Tomley, Damer Blake
Understanding animal movements and modelling the routes they travel can be essential in studies of pathogen transmission dynamics. Pathogen biology is also of crucial importance, d…