AutoHint: Automatic Prompt Optimization with Hint Generation

1 code implementation • 13 Jul 2023 • Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao, Denis Charles

This paper presents AutoHint, a novel framework for automatic prompt engineering and optimization for Large Language Models (LLM).

In-Context Learning Prompt Engineering +1

Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution

1 code implementation • WS 2019 • Yinchuan Xu, Junlin Yang

Our work significantly improves the snippet-context baseline F1 score on GAP dataset from 66. 9% to 80. 3%.