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in-context learning

Just Tell Me: Prompt Engineering in Business Process Management - Summary

The paper discusses the use of prompt engineering to leverage pre-trained language models for business process management (BPM) tasks. It identifies the potentials and challenges of prompt engineering for BPM research.

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models - Summary

The paper introduces Chameleon, a plug-and-play compositional reasoning framework that augments large language models (LLMs) to address their inherent limitations and tackle a broad range of reasoning tasks. Chameleon synthesizes programs to compose various tools, including LLM models, off-the-shel

SegGPT: Segmenting Everything In Context - Summary

SegGPT is a generalist model for segmenting everything in context. It unifies various segmentation tasks into a generalist in-context learning framework that can perform arbitrary segmentation tasks in images or videos via in-context inference. It is evaluated on a broad range of tasks, including f