Tool learning with foundation models

Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui… - ACM Computing …, 2024 - dl.acm.org
Humans possess an extraordinary ability to create and utilize tools. With the advent of
foundation models, artificial intelligence systems have the potential to be equally adept in …

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 …

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 …

The llama 3 herd of models

A Dubey, A Jauhri, A Pandey, A Kadian… - arxiv preprint arxiv …, 2024 - arxiv.org
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …

Vipergpt: Visual inference via python execution for reasoning

D Surís, S Menon, C Vondrick - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Answering visual queries is a complex task that requires both visual processing and
reasoning. End-to-end models, the dominant approach for this task, do not explicitly …

Chameleon: Plug-and-play compositional reasoning with large language models

P Lu, B Peng, H Cheng, M Galley… - Advances in …, 2024 - proceedings.neurips.cc
Large language models (LLMs) have achieved remarkable progress in solving various
natural language processing tasks due to emergent reasoning abilities. However, LLMs …

Is ChatGPT a general-purpose natural language processing task solver?

C Qin, A Zhang, Z Zhang, J Chen, M Yasunaga… - arxiv preprint arxiv …, 2023 - arxiv.org
Spurred by advancements in scale, large language models (LLMs) have demonstrated the
ability to perform a variety of natural language processing (NLP) tasks zero-shot--ie, without …

Pal: Program-aided language models

L Gao, A Madaan, S Zhou, U Alon… - International …, 2023 - proceedings.mlr.press
Large language models (LLMs) have demonstrated an impressive ability to perform
arithmetic and symbolic reasoning tasks, when provided with a few examples at test time (" …

Large language models can be easily distracted by irrelevant context

F Shi, X Chen, K Misra, N Scales… - International …, 2023 - proceedings.mlr.press
Large language models have achieved impressive performance on various natural
language processing tasks. However, so far they have been evaluated primarily on …

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 …