When large language models meet personalization: Perspectives of challenges and opportunities

J Chen, Z Liu, X Huang, C Wu, Q Liu, G Jiang, Y Pu… - World Wide Web, 2024 - Springer
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …

Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding--A Survey

X Fang, W Xu, FA Tan, J Zhang, Z Hu, Y Qi… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent breakthroughs in large language modeling have facilitated rigorous exploration of
their application in diverse tasks related to tabular data modeling, such as prediction, tabular …

[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 …

Faith and fate: Limits of transformers on compositionality

N Dziri, X Lu, M Sclar, XL Li, L Jiang… - Advances in …, 2023 - proceedings.neurips.cc
Transformer large language models (LLMs) have sparked admiration for their exceptional
performance on tasks that demand intricate multi-step reasoning. Yet, these models …

[PDF][PDF] How close is chatgpt to human experts? comparison corpus, evaluation, and detection

B Guo, X Zhang, Z Wang, M Jiang, J Nie… - arxiv preprint arxiv …, 2023 - researchgate.net
The introduction of ChatGPT 2 has garnered widespread attention in both academic and
industrial communities. ChatGPT is able to respond effectively to a wide range of human …

Towards reasoning in large language models: A survey

J Huang, KCC Chang - arxiv preprint arxiv:2212.10403, 2022 - arxiv.org
Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …

[HTML][HTML] Unveiling security, privacy, and ethical concerns of ChatGPT

X Wu, R Duan, J Ni - Journal of Information and Intelligence, 2024 - Elsevier
This paper delves into the realm of ChatGPT, an AI-powered chatbot that utilizes topic
modeling and reinforcement learning to generate natural responses. Although ChatGPT …

Specializing smaller language models towards multi-step reasoning

Y Fu, H Peng, L Ou, A Sabharwal… - … on Machine Learning, 2023 - proceedings.mlr.press
The surprising ability of Large Language Models (LLMs) to perform well on complex
reasoning with only few-shot chain-of-thought prompts is believed to emerge only in very …

Lamm: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark

Z Yin, J Wang, J Cao, Z Shi, D Liu… - Advances in …, 2023 - proceedings.neurips.cc
Large language models have emerged as a promising approach towards achieving general-
purpose AI agents. The thriving open-source LLM community has greatly accelerated the …

Reasoning with language model prompting: A survey

S Qiao, Y Ou, N Zhang, X Chen, Y Yao, S Deng… - arxiv preprint arxiv …, 2022 - arxiv.org
Reasoning, as an essential ability for complex problem-solving, can provide back-end
support for various real-world applications, such as medical diagnosis, negotiation, etc. This …