Zobrazeno 1 - 10
of 16 960
pro vyhledávání: '"Hal, P."'
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
Autor:
Zheng, Ruijie, Liang, Yongyuan, Huang, Shuaiyi, Gao, Jianfeng, Daumé III, Hal, Kolobov, Andrey, Huang, Furong, Yang, Jianwei
Although large vision-language-action (VLA) models pretrained on extensive robot datasets offer promising generalist policies for robotic learning, they still struggle with spatial-temporal dynamics in interactive robotics, making them less effective
Externí odkaz:
http://arxiv.org/abs/2412.10345
A large host of scientific journals and conferences solicit peer reviews from multiple reviewers for the same submission, aiming to gather a broader range of perspectives and mitigate individual biases. In this work, we reflect on the role of diversi
Externí odkaz:
http://arxiv.org/abs/2411.11437
Autor:
Yin, Kayo, Singh, Chinmay, Minakov, Fyodor O., Milan, Vanessa, Daumé III, Hal, Zhang, Cyril, Lu, Alex X., Bragg, Danielle
Deaf and hard-of-hearing (DHH) students face significant barriers in accessing science, technology, engineering, and mathematics (STEM) education, notably due to the scarcity of STEM resources in signed languages. To help address this, we introduce A
Externí odkaz:
http://arxiv.org/abs/2411.05783
Compositional reasoning in Vision-Language Models (VLMs) remains challenging as these models often struggle to relate objects, attributes, and spatial relationships. Recent methods aim to address these limitations by relying on the semantics of the t
Externí odkaz:
http://arxiv.org/abs/2410.22315
Recent advancements of large language models (LLMs) have led to claims of AI surpassing humans in natural language processing (NLP) tasks such as textual understanding and reasoning. This work investigates these assertions by introducing CAIMIRA, a n
Externí odkaz:
http://arxiv.org/abs/2410.06524
Autor:
Baumler, Connor, Daumé III, Hal
AI-based systems such as language models can replicate and amplify social biases reflected in their training data. Among other questionable behavior, this can lead to LM-generated text--and text suggestions--that contain normatively inappropriate ste
Externí odkaz:
http://arxiv.org/abs/2409.20390
Autor:
Tasaki, Hal
To demonstrate the implication of the recent important theorem by Roos, Teufel, Tumulka, and Vogel [1] in a simple but nontrivial example, we study thermalization in the two-dimensional Ising model in the low-temperature phase. We consider the Hamilt
Externí odkaz:
http://arxiv.org/abs/2409.09395
Autor:
Jajal, Purvish, Eliopoulos, Nick John, Chou, Benjamin Shiue-Hal, Thiravathukal, George K., Davis, James C., Lu, Yung-Hsiang
We propose Vision Token Turing Machines (ViTTM), an efficient, low-latency, memory-augmented Vision Transformer (ViT). Our approach builds on Neural Turing Machines and Token Turing Machines, which were applied to NLP and sequential visual understand
Externí odkaz:
http://arxiv.org/abs/2409.07613
The dominant practice of AI alignment assumes (1) that preferences are an adequate representation of human values, (2) that human rationality can be understood in terms of maximizing the satisfaction of preferences, and (3) that AI systems should be
Externí odkaz:
http://arxiv.org/abs/2408.16984
The Ground State of the S=1 Antiferromagnetic Heisenberg Chain is Topologically Nontrivial if Gapped
Autor:
Tasaki, Hal
Under the widely accepted but unproven assumption that the one-dimensional S=1 antiferromagnetic Heisenberg model has a unique gapped ground state, we prove that the model belongs to a nontrivial symmetry-protected topological (SPT) phase. In other w
Externí odkaz:
http://arxiv.org/abs/2407.17041