Revolutionizing finance with llms: An overview of applications and insights

H Zhao, Z Liu, Z Wu, Y Li, T Yang, P Shu, S Xu… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable
advancements and have been applied in diverse fields. Built on the Transformer …

Exploring autonomous agents through the lens of large language models: A review

S Barua - arXiv preprint arXiv:2404.04442, 2024 - arxiv.org
Large Language Models (LLMs) are transforming artificial intelligence, enabling
autonomous agents to perform diverse tasks across various domains. These agents …

Collage prompting: Budget-friendly visual recognition with gpt-4v

S Xu, Y Wang, D Liu, C Xu - arXiv preprint arXiv:2403.11468, 2024 - arxiv.org
Recent advancements in generative AI have suggested that by taking visual prompt, GPT-4V
can demonstrate significant proficiency in image recognition task. Despite its impressive …

LLMs for Coding and Robotics Education

P Shu, H Zhao, H Jiang, Y Li, S Xu, Y Pan, Z Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models and multimodal large language models have revolutionized
artificial intelligence recently. An increasing number of regions are now embracing these …

[HTML][HTML] A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing

A Barekatain, H Habibi, H Voos - Robotics, 2024 - mdpi.com
This paper provides a structured and practical roadmap for practitioners to integrate learning
from demonstration (LfD) into manufacturing tasks, with a specific focus on industrial …

A Survey of Robotic Language Grounding: Tradeoffs Between Symbols and Embeddings

V Cohen, JX Liu, R Mooney, S Tellex… - arXiv preprint arXiv …, 2024 - arxiv.org
With large language models, robots can understand language more flexibly and more
capable than ever before. This survey reviews recent literature and situates it into a …

Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning

X Sun, X Zhao, JH Lee, W Lu, M Kerzel… - arXiv preprint arXiv …, 2024 - arxiv.org
The state of an object reflects its current status or condition and is important for a robot's task
planning and manipulation. However, detecting an object's state and generating a state …

From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI

S Krause, F Stolzenburg - arXiv preprint arXiv:2407.03778, 2024 - arxiv.org
Commonsense reasoning is a difficult task for a computer, but a critical skill for an artificial
intelligence (AI). It can enhance the explainability of AI models by enabling them to provide …

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery

X Song, M Diao, G Dong, Z Wang, Y Fu, R Qiao… - arXiv preprint arXiv …, 2024 - arxiv.org
Computer Science (CS) stands as a testament to the intricacies of human intelligence,
profoundly advancing the development of artificial intelligence and modern society …

Robustness Testing of Multi-Modal Models in Varied Home Environments for Assistive Robots

L Hirlimann, S Zhang, H Schütze, P Wicke - arXiv preprint arXiv …, 2024 - arxiv.org
The development of assistive robotic agents to support household tasks is advancing, yet
the underlying models often operate in virtual settings that do not reflect real-world …