P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models

no code implementations • 8 May 2024 • Guochao Jiang, Zepeng Ding, Yuchen Shi, Deqing Yang

To obtain optimal point entities for prompting LLMs, we also proposed a point entity selection method based on K-Means clustering.

In-Context Learning named-entity-recognition +2

ToNER: Type-oriented Named Entity Recognition with Generative Language Model

no code implementations • 14 Apr 2024 • Guochao Jiang, Ziqin Luo, Yuchen Shi, Dixuan Wang, Jiaqing Liang, Deqing Yang

In recent years, the fine-tuned generative models have been proven more powerful than the previous tagging-based or span-based models on named entity recognition (NER) task.

Binary Classification Language Modelling +4

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding

no code implementations • 4 Apr 2024 • Yanda Li, Dixuan Wang, Jiaqing Liang, Guochao Jiang, Qianyu He, Yanghua Xiao, Deqing Yang

Large Language Models (LLMs) have demonstrated good performance in many reasoning tasks, but they still struggle with some complicated reasoning tasks including logical reasoning.

Logical Fallacies Logical Reasoning