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 …

[PDF][PDF] A survey on large language models: Applications, challenges, limitations, and practical usage

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - techrxiv.figshare.com
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

[PDF][PDF] A survey of large language models

WX Zhao, K Zhou, J Li, T Tang… - arxiv preprint arxiv …, 2023 - paper-notes.zhjwpku.com
Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …

A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

L Huang, W Yu, W Ma, W Zhong, Z Feng… - ACM Transactions on …, 2025 - dl.acm.org
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …

Benchmarking large language models in retrieval-augmented generation

J Chen, H Lin, X Han, L Sun - Proceedings of the AAAI Conference on …, 2024 - ojs.aaai.org
Retrieval-Augmented Generation (RAG) is a promising approach for mitigating the
hallucination of large language models (LLMs). However, existing research lacks rigorous …

Deepseek llm: Scaling open-source language models with longtermism

X Bi, D Chen, G Chen, S Chen, D Dai, C Deng… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid development of open-source large language models (LLMs) has been truly
remarkable. However, the scaling law described in previous literature presents varying …

Aligning large language models with human: A survey

Y Wang, W Zhong, L Li, F Mi, X Zeng, W Huang… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) trained on extensive textual corpora have emerged as
leading solutions for a broad array of Natural Language Processing (NLP) tasks. Despite …

Art and the science of generative AI

Z Epstein, A Hertzmann… - Science, 2023 - science.org
The capabilities of a new class of tools, colloquially known as generative artificial
intelligence (AI), is a topic of much debate. One prominent application thus far is the …

[PDF][PDF] Trustllm: Trustworthiness in large language models

L Sun, Y Huang, H Wang, S Wu, Q Zhang… - arxiv preprint arxiv …, 2024 - mosis.eecs.utk.edu
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

[PDF][PDF] Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - researchgate.net
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …