Zobrazeno 1 - 10
of 79 305
pro vyhledávání: '"P A, Grace"'
Autor:
Proebsting, Grace, Poliak, Adam
We test whether replacing crowdsource workers with LLMs to write Natural Language Inference (NLI) hypotheses similarly results in annotation artifacts. We recreate a portion of the Stanford NLI corpus using GPT-4, Llama-2 and Mistral 7b, and train hy
Externí odkaz:
http://arxiv.org/abs/2410.08996
Despite significant advancements in deep probabilistic models, learning low-dimensional discrete latent representations remains a challenging task. In this paper, we introduce a novel method that enhances variational inference in discrete latent vari
Externí odkaz:
http://arxiv.org/abs/2410.07840
Wearable devices like smartwatches, wristbands, and fitness trackers are designed to be lightweight devices to be worn on the human body. With the increased connectivity of wearable devices, they will become integral to remote healthcare solutions. F
Externí odkaz:
http://arxiv.org/abs/2410.07629
Learning-based approaches to quadruped locomotion commonly adopt generic policy architectures like fully connected MLPs. As such architectures contain few inductive biases, it is common in practice to incorporate priors in the form of rewards, traini
Externí odkaz:
http://arxiv.org/abs/2410.07174
We propose a bit-flip descent method for optimizing binary spreading codes with large family sizes and long lengths, addressing the challenges of large-scale code design in GNSS and emerging PNT applications. The method iteratively flips code bits to
Externí odkaz:
http://arxiv.org/abs/2410.04653
Autor:
Magid, Salma Abdel, Pan, Weiwei, Warchol, Simon, Guo, Grace, Kim, Junsik, Rahman, Mahia, Pfister, Hanspeter
Text-to-image (T2I) models are increasingly used in impactful real-life applications. As such, there is a growing need to audit these models to ensure that they generate desirable, task-appropriate images. However, systematically inspecting the assoc
Externí odkaz:
http://arxiv.org/abs/2410.04634
Autor:
Ward, Francis Rhys, Yang, Zejia, Jackson, Alex, Brown, Randy, Smith, Chandler, Colverd, Grace, Thomson, Louis, Douglas, Raymond, Bartak, Patrik, Rowan, Andrew
Language models (LMs) can exhibit human-like behaviour, but it is unclear how to describe this behaviour without undue anthropomorphism. We formalise a behaviourist view of LM character traits: qualities such as truthfulness, sycophancy, or coherent
Externí odkaz:
http://arxiv.org/abs/2410.04272
Alzheimer's disease (AD) is a progressive neurodegenerative disorder with increasing prevalence among the aging population, necessitating early and accurate diagnosis for effective disease management. In this study, we present a novel hybrid deep lea
Externí odkaz:
http://arxiv.org/abs/2410.02714
Large Language Models (LLMs) have achieved remarkable breakthroughs. However, the huge number of parameters in LLMs require significant amount of memory storage in inference, which prevents their practical deployment in many applications. To reduce m
Externí odkaz:
http://arxiv.org/abs/2410.03765
Autor:
Rahman, Md Rejwanur, Rodriguez-Marek, Adrian, Stark, Nina, Massey, Grace, Friedrichs, Carl, Dorgan, Kelly M.
The geotechnical evaluation of seabed sediments is important for engineering projects and naval applications, offering valuable insights into sediment properties, behavior, and strength. Obtaining high-quality seabed samples can be a challenging task
Externí odkaz:
http://arxiv.org/abs/2410.00225