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

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024★ 6 cited

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

Guochao Jiang, Zepeng Ding, Yuchen Shi +1

In recent years, the rise of large language models (LLMs) has made it possible to directly achieve named entity recognition (NER) without any demonstration samples or only using a…

cs.CL2024

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

Yanda Li, Dixuan Wang, Jiaqing Liang +4

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