Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains

15 November 2023

Papers citing "Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains"

8 / 8 papers shown

Title
Extract, Match, and Score: An Evaluation Paradigm for Long Question-context-answer Triplets in Financial Analysis Bo Hu Han Yuan Vlad Pandelea Wuqiong Luo Yingzhu Zhao Zheng Ma 53 0 0 20 Mar 2025
VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data Thomas Zeng Shuibai Zhang Shutong Wu Christian Classen Daewon Chae ... Jungtaek Kim H. Koo Kannan Ramchandran Dimitris Papailiopoulos Kangwook Lee LRM 68 2 0 10 Feb 2025
Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration Thomas Walshe S. Moon Chunyang Xiao Yawwani Gunawardana Fran Silavong 41 1 0 21 Jan 2025
Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs Lynn Greschner Roman Klinger 87 2 0 20 Dec 2024
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge Yasumasa Onoe Michael J.Q. Zhang Shankar Padmanabhan Greg Durrett Eunsol Choi KELM 201 73 0 02 May 2023
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought Abulhair Saparov He He ELM LRM ReLM 121 275 0 03 Oct 2022
Large Language Models are Few-Shot Clinical Information Extractors Monica Agrawal S. Hegselmann Hunter Lang Yoon Kim David Sontag BDL LM&MA 162 334 0 25 May 2022
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 313 11,953 0 04 Mar 2022