[PDF][PDF] Natural language is all a graph needs

R Ye, C Zhang, R Wang, S Xu, Y Zhang - arXiv preprint arXiv …, 2023 - yongfeng.me
The emergence of large-scale pre-trained language models, such as ChatGPT, has
revolutionized various research fields in artificial intelligence. Transformersbased large …

Trustworthy AI for human-centric smart manufacturing: A survey

D Li, S Liu, B Wang, C Yu, P Zheng, W Li - Journal of Manufacturing …, 2025 - Elsevier
Human-centric smart manufacturing (HCSM) envisions a symbiotic relationship between
humans and machines, leveraging human capability and Artificial Intelligence (AI)'s …

Autoflow: Automated workflow generation for large language model agents

Z Li, S Xu, K Mei, W Hua, B Rama, O Raheja… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in Large Language Models (LLMs) have shown significant progress
in understanding complex natural language. One important application of LLM is LLM-based …

Knowagent: Knowledge-augmented planning for llm-based agents

Y Zhu, S Qiao, Y Ou, S Deng, N Zhang, S Lyu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have demonstrated great potential in complex reasoning
tasks, yet they fall short when tackling more sophisticated challenges, especially when …

Language is all a graph needs

R Ye, C Zhang, R Wang, S Xu… - Findings of the …, 2024 - aclanthology.org
The emergence of large-scale pre-trained language models has revolutionized various AI
research domains. Transformers-based Large Language Models (LLMs) have gradually …

CoRE: LLM as Interpreter for Natural Language Programming, Pseudo-Code Programming, and Flow Programming of AI Agents

S Xu, Z Li, K Mei, Y Zhang - arXiv preprint arXiv:2405.06907, 2024 - arxiv.org
Since their inception, programming languages have trended towards greater readability and
lower barriers for programmers. Following this trend, natural language can be a promising …

Ruler: Improving llm controllability by rule-based data recycling

M Li, H Chen, C Wang, D Nguyen, D Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Despite the remarkable advancement of Large language models (LLMs), they still lack
delicate controllability under sophisticated constraints, which is critical to enhancing their …

Ask-before-Plan: Proactive Language Agents for Real-World Planning

X Zhang, Y Deng, Z Ren, SK Ng, TS Chua - arXiv preprint arXiv …, 2024 - arxiv.org
The evolution of large language models (LLMs) has enhanced the planning capabilities of
language agents in diverse real-world scenarios. Despite these advancements, the potential …

CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning

D Wu, J Wang, Y Meng, Y Zhang, L Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
Utilizing large language models (LLMs) for tool planning has emerged as a promising
avenue for developing general AI systems, where LLMs automatically schedule external …

Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming

Y Hao, Y Zhang, C Fan - arXiv preprint arXiv:2410.12112, 2024 - arxiv.org
While large language models (LLMs) have recently demonstrated strong potential in solving
planning problems, there is a trade-off between flexibility and complexity. LLMs, as zero-shot …