Papers citing 'Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty'

Title
Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications Jean-Philippe Corbeil Asma Ben Abacha George Michalopoulos Phillip Swazinna Miguel Del-Agua ... Nathan Bodenstab Thomas Lin Wenxuan Teng François Beaulieu Paul Vozila LM&MA 162 3 0 07 Jul 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 587 2 0 25 Apr 2025
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models Qingkai Min Qipeng Guo Xiangkun Hu Songfang Huang Zheng Zhang Yue Zhang 212 5 0 04 Jun 2024
Uncertainty Quantification for In-Context Learning of Large Language Models Chen Ling Xujiang Zhao Xuchao Zhang Wei Cheng Yanchi Liu ... Katsushi Matsuda Jie Ji Guangji Bai Bo Pan Haifeng Chen 234 33 0 15 Feb 2024
A Survey on Open Information Extraction from Rule-based Model to Large Language ModelConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Pai Liu Wenya Gao Wenjie Dong Lin Ai Wen Dong Songfang Huang Zongsheng Li Ehsan Hoque Julia Hirschberg Yue Zhang 439 11 0 18 Aug 2022