xFinder: Robust and Pinpoint Answer Extraction for Large Language Models

no code implementations • 20 May 2024 • Qingchen Yu, Zifan Zheng, Shichao Song, Zhiyu Li, Feiyu Xiong, Bo Tang, Ding Chen

The continuous advancement of large language models (LLMs) has brought increasing attention to the critical issue of developing fair and reliable methods for evaluating their performance.

Grimoire is All You Need for Enhancing Large Language Models

1 code implementation • 7 Jan 2024 • Ding Chen, Shichao Song, Qingchen Yu, Zhiyu Li, Wenjin Wang, Feiyu Xiong, Bo Tang

In this paper, we propose a method SLEICL that involves learning from examples using strong language models and then summarizing and transferring these learned skills to weak language models for inference and application.

In-Context Learning