Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Walker, Nicholas P."'
Autor:
Walker, Nicholas
Causal decoder-only transformer models used for generative language modelling, such as Generative Pre-trained Transformers (GPT), are trained to predict the next token in a sequence based only on its previous tokens. Despite this simple training obje
Externí odkaz:
http://arxiv.org/abs/2410.18160
Constructing responses in task-oriented dialogue systems typically relies on information sources such the current dialogue state or external databases. This paper presents a novel approach to knowledge-grounded response generation that combines retri
Externí odkaz:
http://arxiv.org/abs/2310.13566
Autor:
Walker, Nicholas, Dagdelen, John, Cruse, Kevin, Lee, Sanghoon, Gleason, Samuel, Dunn, Alexander, Ceder, Gerbrand, Alivisatos, A. Paul, Persson, Kristin A., Jain, Anubhav
Although gold nanorods have been the subject of much research, the pathways for controlling their shape and thereby their optical properties remain largely heuristically understood. Although it is apparent that the simultaneous presence of and intera
Externí odkaz:
http://arxiv.org/abs/2304.13846
Structured information extraction from complex scientific text with fine-tuned large language models
Autor:
Dunn, Alexander, Dagdelen, John, Walker, Nicholas, Lee, Sanghoon, Rosen, Andrew S., Ceder, Gerbrand, Persson, Kristin, Jain, Anubhav
Intelligently extracting and linking complex scientific information from unstructured text is a challenging endeavor particularly for those inexperienced with natural language processing. Here, we present a simple sequence-to-sequence approach to joi
Externí odkaz:
http://arxiv.org/abs/2212.05238
We present a new approach to dialogue management using conversational knowledge graphs as core representation of the dialogue state. To this end, we introduce a new dataset, GraphWOZ, which comprises Wizard-of-Oz dialogues in which human participants
Externí odkaz:
http://arxiv.org/abs/2211.12852
We generalize the previous study on the application of variational autoencoders to the two-dimensional Ising model to a system with anisotropy. Due to the self-duality property of the system, the critical points can be located exactly for the entire
Externí odkaz:
http://arxiv.org/abs/2111.01112
By the end of May 2020, all states in the US have eased their COVID-19 mitigation measures. Different states adopted markedly different policies and timing for reopening. An important question remains in how the relaxation of mitigation measures is r
Externí odkaz:
http://arxiv.org/abs/2011.09279
Autor:
Appleby, Robert, Barlow, Roger, Kruecker, Dirk, Molson, James, Rafique, Haroon, Rowan, Scott, Tygier, Sam, Walker, Nicholas, Wolski, Andrzej
Merlin++ is a C++ charged-particle tracking library developed for the simulation and analysis of complex beam dynamics within high energy particle accelerators. Accurate simulation and analysis of particle dynamics is an essential part of the design
Externí odkaz:
http://arxiv.org/abs/2011.04335
Machine learning approaches have recently been applied to the study of various problems in physics. Most of the studies are focused on interpreting the data generated by conventional numerical methods or an existing database. An interesting question
Externí odkaz:
http://arxiv.org/abs/2008.12331
Autor:
Walker, Nicholas, Tam, Ka-Ming
The 2-dimensional Ising model on a square lattice is investigated with a variational autoencoder in the non-vanishing field case for the purpose of extracting the crossover region between the ferromagnetic and paramagnetic phases. The encoded latent
Externí odkaz:
http://arxiv.org/abs/2005.13742