Zobrazeno 1 - 10
of 187 673
pro vyhledávání: '"A. Tseng"'
Autor:
Ratzlaff, Neale, Olson, Matthew Lyle, Hinck, Musashi, Tseng, Shao-Yen, Lal, Vasudev, Howard, Phillip
Large Vision Language Models (LVLMs) such as LLaVA have demonstrated impressive capabilities as general-purpose chatbots that can engage in conversations about a provided input image. However, their responses are influenced by societal biases present
Externí odkaz:
http://arxiv.org/abs/2410.13976
Autor:
Azfar, Farrukh, Tseng, Jeff, Molla, Marta Colomer, Scholberg, Kate, Habig, Alec, BenZvi, Segev, Kara, Melih, Kneller, James, Migenda, Jost, Milisavljevic, Dan, O'Connor, Evan
A Galactic core-collapse supernova (CCSN) is likely to be observed in neutrino detectors around the world minutes to hours before the electromagnetic radiation arrives. The SNEWS2.0 network of neutrino and dark matter detectors aims to use the relati
Externí odkaz:
http://arxiv.org/abs/2410.11984
Recent advancements in learned 3D representations have enabled significant progress in solving complex robotic manipulation tasks, particularly for rigid-body objects. However, manipulating granular materials such as beans, nuts, and rice, remains ch
Externí odkaz:
http://arxiv.org/abs/2410.09740
The development of cloud services in recent years has mushroomed, for example, Google Drive, Amazon AWS, Microsoft Azure. Merchants can easily use cloud services to open their online shops in a few seconds. Users can easily and quickly connect to the
Externí odkaz:
http://arxiv.org/abs/2410.08120
Consistency regularization is a commonly used practice to encourage the model to generate consistent representation from distorted input features and improve model generalization. It shows significant improvement on various speech applications that a
Externí odkaz:
http://arxiv.org/abs/2410.07491
Deep neural networks excel in mapping genomic DNA sequences to associated readouts (e.g., protein-DNA binding). Beyond prediction, the goal of these networks is to reveal to scientists the underlying motifs (and their syntax) which drive genome regul
Externí odkaz:
http://arxiv.org/abs/2410.06211
Data annotation refers to the labeling or tagging of textual data with relevant information. A large body of works have reported positive results on leveraging LLMs as an alternative to human annotators. However, existing studies focus on classic NLP
Externí odkaz:
http://arxiv.org/abs/2410.03254
We consider an autonomous navigation robot that can accept human commands through natural language to provide services in an indoor environment. These natural language commands may include time, position, object, and action components. However, we ob
Externí odkaz:
http://arxiv.org/abs/2410.12802
This paper analyzes the impact of causal manner in the text encoder of text-to-image (T2I) diffusion models, which can lead to information bias and loss. Previous works have focused on addressing the issues through the denoising process. However, the
Externí odkaz:
http://arxiv.org/abs/2410.00321
Autor:
Tseng, Yuan-Heng, Jiang, Fu-Jiun
The critical phenomena of the two-dimensional antiferromagnetic $q$-state Potts model on the square lattice with $q=2,3,4$ are investigated using the techniques of neural networks (NN). In particular, an unconventional supervised NN which is trained
Externí odkaz:
http://arxiv.org/abs/2409.17984