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Yi-Feng Wu

2 accepted papers

2024

Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees

NeurIPS 2024poster

Tool-augmented large language models (LLMs) leverage tools, often in the form of APIs, to improve their reasoning capabilities on complex tasks. This enables them to act as intelligent agents interacting with the real world. The recently introduced ToolLLaMA model by Qin et al. [2023] utilizes the d…

Cited by 7SourcePDFScholar
2024

TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt

IJCAI 2024poster

The recent introduction of prompt tuning based on pre-trained vision-language models has dramatically improved the performance of multi-label image classification. However, some existing strategies that have been explored still have drawbacks, i.e., either exploiting massive labeled visual data at a…