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 …

Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models

Z Lin, S Guan, W Zhang, H Zhang, Y Li… - Artificial Intelligence …, 2024 - Springer
Recently, large language models (LLMs) have attracted considerable attention due to their
remarkable capabilities. However, LLMs' generation of biased or hallucinatory content …

Resolving knowledge conflicts in large language models

Y Wang, S Feng, H Wang, W Shi… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) often encounter knowledge conflicts, scenarios where
discrepancy arises between the internal parametric knowledge of LLMs and non-parametric …

Knowledge crosswords: Geometric reasoning over structured knowledge with large language models

W Ding, S Feng, Y Liu, Z Tan, V Balachandran, T He… - 2023 - openreview.net
Large language models (LLMs) are widely adopted in knowledge-intensive tasks and have
achieved impressive performance thanks to their knowledge abilities. While LLMs have …