ClusterLLM: Large Language Models as a Guide for Text Clustering

24 May 2023

Papers citing "ClusterLLM: Large Language Models as a Guide for Text Clustering"

7 / 7 papers shown

Title
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts Helia Hashemi J. Eisner Corby Rosset Benjamin Van Durme Chris Kedzie 52 1 0 03 Jan 2025
Eliciting Informative Text Evaluations with Large Language Models Yuxuan Lu Shengwei Xu Yichi Zhang Yuqing Kong Grant Schoenebeck 16 5 0 23 May 2024
Generalized Category Discovery with Large Language Models in the Loop Wenbin An Wenkai Shi Feng Tian Haonan Lin Qianying Wang ... Mingxiang Cai Luyan Wang Yan Chen Haiping Zhu Ping Chen 16 9 0 18 Dec 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback M. Abouheaf W. Gueaieb Md. Suruz Miah D. Spinello Xipeng Qiu 32 37 0 03 May 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 160 444 0 10 Mar 2020
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification Tianyu Gao Xu Han Hao Zhu Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 192 221 0 16 Oct 2019