Tool learning with large language models: A survey

C Qu, S Dai, X Wei, H Cai, S Wang, D Yin, J Xu… - Frontiers of Computer …, 2025 - Springer
Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …

Foundation model for advancing healthcare: challenges, opportunities and future directions

Y He, F Huang, X Jiang, Y Nie, M Wang… - IEEE Reviews in …, 2024 - ieeexplore.ieee.org
Foundation model, trained on a diverse range of data and adaptable to a myriad of tasks, is
advancing healthcare. It fosters the development of healthcare artificial intelligence (AI) …

Metamath: Bootstrap your own mathematical questions for large language models

L Yu, W Jiang, H Shi, J Yu, Z Liu, Y Zhang… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) have pushed the limits of natural language understanding
and exhibited excellent problem-solving ability. Despite the great success, most existing …

[PDF][PDF] Understanding the planning of LLM agents: A survey

X Huang, W Liu, X Chen, X Wang, H Wang… - arxiv preprint arxiv …, 2024 - researchgate.net
Abstract As Large Language Models (LLMs) have shown significant intelligence, the
progress to leverage LLMs as planning modules of autonomous agents has attracted more …

Unveiling the generalization power of fine-tuned large language models

H Yang, Y Zhang, J Xu, H Lu, PA Heng… - arxiv preprint arxiv …, 2024 - arxiv.org
While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities,
fine-tuning these models on downstream, domain-specific datasets is often necessary to …

Lampilot: An open benchmark dataset for autonomous driving with language model programs

Y Ma, C Cui, X Cao, W Ye, P Liu, J Lu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Autonomous driving (AD) has made significant strides in recent years. However existing
frameworks struggle to interpret and execute spontaneous user instructions such as" …

Motionllm: Understanding human behaviors from human motions and videos

LH Chen, S Lu, A Zeng, H Zhang, B Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
This study delves into the realm of multi-modality (ie, video and motion modalities) human
behavior understanding by leveraging the powerful capabilities of Large Language Models …

Capabilities of large language models in control engineering: A benchmark study on gpt-4, claude 3 opus, and gemini 1.0 ultra

D Kevian, U Syed, X Guo, A Havens, G Dullerud… - arxiv preprint arxiv …, 2024 - arxiv.org
In this paper, we explore the capabilities of state-of-the-art large language models (LLMs)
such as GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra in solving undergraduate-level control …

Foundation models for recommender systems: A survey and new perspectives

C Huang, T Yu, K **e, S Zhang, L Yao… - arxiv preprint arxiv …, 2024 - arxiv.org
Recently, Foundation Models (FMs), with their extensive knowledge bases and complex
architectures, have offered unique opportunities within the realm of recommender systems …

Factored cognition models: Enhancing llm performance through modular decomposition

S Wench, K Maxwell - Authorea Preprints, 2024 - techrxiv.org
Generative AI has achieved remarkable progress in producing human-like text, yet
challenges remain in improving the predictability, reliability, and overall performance of …