A survey on evaluation of large language models

Y Chang, X Wang, J Wang, Y Wu, L Yang… - ACM Transactions on …, 2024 - dl.acm.org
Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …

Large language models on graphs: A comprehensive survey

B Jin, G Liu, C Han, M Jiang, H Ji… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arXiv preprint arXiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Unifying large language models and knowledge graphs: A roadmap

S Pan, L Luo, Y Wang, C Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …

Gpt4graph: Can large language models understand graph structured data? an empirical evaluation and benchmarking

J Guo, L Du, H Liu, M Zhou, X He, S Han - arXiv preprint arXiv:2305.15066, 2023 - arxiv.org
Large language models~(LLM) like ChatGPT have become indispensable to artificial
general intelligence~(AGI), demonstrating excellent performance in various natural …

[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 …

Adapting large language models by integrating collaborative semantics for recommendation

B Zheng, Y Hou, H Lu, Y Chen, WX Zhao… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Recently, large language models (LLMs) have shown great potential in recommender
systems, either improving existing recommendation models or serving as the backbone …

Knowledge graph-based manufacturing process planning: A state-of-the-art review

Y Xiao, S Zheng, J Shi, X Du, J Hong - Journal of Manufacturing Systems, 2023 - Elsevier
Computer-aided process planning is the bridge between computer-aided design and
computer-aided manufacturing. With the advent of the intelligent manufacturing era, process …

G-retriever: Retrieval-augmented generation for textual graph understanding and question answering

X He, Y Tian, Y Sun, NV Chawla, T Laurent… - arXiv preprint arXiv …, 2024 - arxiv.org
Given a graph with textual attributes, we enable users tochat with their graph': that is, to ask
questions about the graph using a conversational interface. In response to a user's …

Chatcot: Tool-augmented chain-of-thought reasoning on chat-based large language models

Z Chen, K Zhou, B Zhang, Z Gong, WX Zhao… - arXiv preprint arXiv …, 2023 - arxiv.org
Although large language models (LLMs) have achieved excellent performance in a variety
of evaluation benchmarks, they still struggle in complex reasoning tasks which require …