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ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

16 October 2024
Jingming Zhuo
S. Zhang
Xinyu Fang
Haodong Duan
Dahua Lin
Kai Chen
ArXivPDFHTML

Papers citing "ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs"

4 / 4 papers shown
Title
Developing A Framework to Support Human Evaluation of Bias in Generated Free Response Text
Developing A Framework to Support Human Evaluation of Bias in Generated Free Response Text
Jennifer Healey
Laurie Byrum
Md Nadeem Akhtar
Surabhi Bhargava
Moumita Sinha
27
0
0
05 May 2025
PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping
PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping
Sarah Pungitore
Shashank Yadav
Vignesh Subbian
LM&MA
56
0
0
25 Mar 2025
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization
Yuanye Liu
Jiahang Xu
Li Lyna Zhang
Qi Chen
Xuan Feng
Yang Chen
Zhongxin Guo
Yuqing Yang
Cheng Peng
80
2
0
06 Feb 2025
Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time
Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time
David Herel
Vojtech Bartek
Jiri Jirak
Tomáš Mikolov
42
2
0
20 Sep 2024
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