Zobrazeno 1 - 10
of 116 518
pro vyhledávání: '"A, Carson"'
Autor:
Mai, Long, Carson-Berndsen, Julie
While Large Language Models (LLMs) have made significant strides in replicating human-like abilities, there are concerns about a reduction in the linguistic diversity of their outputs. This results in the homogenization of viewpoints and perspectives
Externí odkaz:
http://arxiv.org/abs/2412.03343
Self-improvement is a mechanism in Large Language Model (LLM) pre-training, post-training and test-time inference. We explore a framework where the model verifies its own outputs, filters or reweights data based on this verification, and distills the
Externí odkaz:
http://arxiv.org/abs/2412.02674
DEtection TRansformer (DETR) has emerged as a promising architecture for object detection, offering an end-to-end prediction pipeline. In practice, however, DETR generates hundreds of predictions that far outnumber the actual number of objects presen
Externí odkaz:
http://arxiv.org/abs/2412.01782
Autor:
Kohlbrenner, Carson, Escobedo, Caleb, Bae, S. Sandra, Dickhans, Alexander, Roncone, Alessandro
Developing whole-body tactile skins for robots remains a challenging task, as existing solutions often prioritize modular, one-size-fits-all designs, which, while versatile, fail to account for the robot's specific shape and the unique demands of its
Externí odkaz:
http://arxiv.org/abs/2412.00711
Autor:
Kohlbrenner, Carson, Murray, Mitchell, Zhang, Yutong, Escobedo, Caleb, Dunnington, Thomas, Stevenson, Nolan, Correll, Nikolaus, Roncone, Alessandro
Estimating the location of contact is a primary function of artificial tactile sensing apparatuses that perceive the environment through touch. Existing contact localization methods use flat geometry and uniform sensor distributions as a simplifying
Externí odkaz:
http://arxiv.org/abs/2412.00689
Tactile sensing is used in robotics to obtain real-time feedback during physical interactions. Fine object manipulation is a robotic application that benefits from a high density of sensors to accurately estimate object pose, whereas a low sensing re
Externí odkaz:
http://arxiv.org/abs/2412.00672
The success of large language models (LLMs) for time series has been demonstrated in previous work. Utilizing a symbolic time series representation, one can efficiently bridge the gap between LLMs and time series. However, the remaining challenge is
Externí odkaz:
http://arxiv.org/abs/2411.18506
This paper introduces Open-Amp, a synthetic data framework for generating large-scale and diverse audio effects data. Audio effects are relevant to many musical audio processing and Music Information Retrieval (MIR) tasks, such as modelling of analog
Externí odkaz:
http://arxiv.org/abs/2411.14972
Time series are ubiquitous in numerous science and engineering domains, e.g., signal processing, bioinformatics, and astronomy. Previous work has verified the efficacy of symbolic time series representation in a variety of engineering applications du
Externí odkaz:
http://arxiv.org/abs/2411.15209
Autor:
Carson, Erin, Ma, Yuxin
The block classical Gram--Schmidt (BCGS) algorithm and its reorthogonalized variant are widely-used methods for computing the economic QR factorization of block columns $X$ due to their lower communication cost compared to other approaches such as mo
Externí odkaz:
http://arxiv.org/abs/2411.07077