How are Prompts Different in Terms of Sensitivity?

13 November 2023

Papers citing "How are Prompts Different in Terms of Sensitivity?"

24 / 24 papers shown

Title
FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Jabez Magomere Elena Kochkina Samuel Mensah Simerjot Kaur Charese Smiley 25 0 0 22 Apr 2025
A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment Negar Arabzadeh Charles L. A. Clarke 27 1 0 16 Apr 2025
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More Arvid Frydenlund LRM 48 0 0 13 Mar 2025
SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Saurabh Kumar Pandey S. Vashistha Debrup Das Somak Aditya Monojit Choudhury AAML 69 0 0 10 Feb 2025
Benchmarking Abstractive Summarisation: A Dataset of Human-authored Summaries of Norwegian News Articles Samia Touileb Vladislav Mikhailov Marie Kroka Lilja Øvrelid Erik Velldal 34 3 0 13 Jan 2025
Information Anxiety in Large Language Models Prasoon Bajpai Sarah Masud Tanmoy Chakraborty 37 0 0 16 Nov 2024
Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages Hoang Nguyen Khyati Mahajan Vikas Yadav Philip S. Yu Masoud Hashemi Rishabh Maheshwary Rishabh Maheshwary 43 0 0 04 Nov 2024
Do LLMs "know" internally when they follow instructions? Juyeon Heo Christina Heinze-Deml Oussama Elachqar Shirley Ren Udhay Nallasamy Andy Miller Kwan Ho Ryan Chan Jaya Narain 44 3 0 18 Oct 2024
POSIX: A Prompt Sensitivity Index For Large Language Models Anwoy Chatterjee H. S. V. N. S. K. Renduchintala S. Bhatia Tanmoy Chakraborty AAML 13 6 0 03 Oct 2024
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting Emmanuel Aboah Boateng Cassiano O. Becker Nabiha Asghar Kabir Walia Ashwin Srinivasan Ehi Nosakhare Victor Dibia Soundar Srinivasan LRM 31 0 0 18 Aug 2024
LLMs as Function Approximators: Terminology, Taxonomy, and Questions for Evaluation David Schlangen 30 1 0 18 Jul 2024
Paraphrase Types Elicit Prompt Engineering Capabilities Jan Philip Wahle Terry Ruas Yang Xu Bela Gipp 29 5 0 28 Jun 2024
E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models Zhenyu Zhang Bingguang Hao Jinpeng Li Zekai Zhang Dongyan Zhao 21 0 0 16 Jun 2024
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning Jiaqi Li Yixuan Tang Yi Yang 29 5 0 14 Jun 2024
Finding Visual Task Vectors Alberto Hojel Yutong Bai Trevor Darrell Amir Globerson Amir Bar 58 6 0 08 Apr 2024
The Transient Nature of Emergent In-Context Learning in Transformers Aaditya K. Singh Stephanie C. Y. Chan Ted Moskovitz Erin Grant Andrew M. Saxe Felix Hill 62 31 0 14 Nov 2023
The Learnability of In-Context Learning Noam Wies Yoav Levine Amnon Shashua 114 89 0 14 Mar 2023
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 180 77 0 16 Sep 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Sensitivity as a Complexity Measure for Sequence Classification Tasks Michael Hahn Dan Jurafsky Richard Futrell 138 22 0 21 Apr 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018