C Cui, Y Ma, X Cao, W Ye… - IEEE Intelligent …, 2024 - ieeexplore.ieee.org
The fusion of human-centric design and artificial intelligence capabilities has opened up new possibilities for next-generation autonomous vehicles that go beyond traditional …
Data visualization in the form of charts plays a pivotal role in data analysis, offering critical insights and aiding in informed decision-making. Automatic chart understanding has …
J Zhang, H Bu, H Wen, Y Chen, L Li, H Zhu - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancements in large language models (LLMs) have opened new avenues across various fields, including cybersecurity, which faces an ever-evolving threat landscape …
In this paper, we introduce" InfiAgent-DABench", the first benchmark specifically designed to evaluate LLM-based agents in data analysis tasks. This benchmark contains DAEval, a …
Large Language Models (LLMs) have demonstrated great potential in complex reasoning tasks, yet they fall short when tackling more sophisticated challenges, especially when …
X Cao, T Zhou, Y Ma, W Ye, C Cui… - Proceedings of the …, 2024 - openaccess.thecvf.com
Vision-language generative AI has demonstrated remarkable promise for empowering cross- modal scene understanding of autonomous driving and high-definition (HD) map systems …
Y Zhu, Z Wang, J Gao, Y Tong, J An, W Liao… - arXiv preprint arXiv …, 2024 - arxiv.org
The inherent complexity of structured longitudinal Electronic Health Records (EHR) data poses a significant challenge when integrated with Large Language Models (LLMs), which …
We evaluate ChatGPT's ability to solve algorithm problems from the CLRS benchmark suite that is designed for GNNs. The benchmark requires the use of a specified classical algorithm …
R Hong, H Zhang, X Pan, D Yu, C Zhang - arXiv preprint arXiv:2406.12442, 2024 - arxiv.org
Abstract reasoning, the ability to reason from the abstract essence of a problem, serves as a key to generalization in human reasoning. However, eliciting language models to perform …