Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts

Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts

25 May 2023

Mohna Chakraborty

Adithya Kulkarni

Qi Li

Papers citing "Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts"

10 / 10 papers shown

Title
"Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding Hyunbin Jin Je Won Yeom Seunghyun Bae Taesup Kim LRM ReLM 45 1 0 13 Mar 2025
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More Arvid Frydenlund LRM 50 0 0 13 Mar 2025
The Mystery of the Pathological Path-star Task for Language Models Arvid Frydenlund LRM 27 4 0 17 Oct 2024
Open (Clinical) LLMs are Sensitive to Instruction Phrasings Alberto Mario Ceballos Arroyo Monica Munnangi Jiuding Sun Karen Y.C. Zhang Denis Jered McInerney Byron C. Wallace Silvio Amir LM&MA 26 8 0 12 Jul 2024
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance Manon Reusens Philipp Borchert Jochen De Weerdt Bart Baesens 44 1 0 25 Jun 2024
From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency Xenia Ohmer Elia Bruni Dieuwke Hupkes AI4CE 36 6 0 18 Apr 2024
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs Simone Balloccu Patrícia Schmidtová Mateusz Lango Ondrej Dusek SILM ELM PILM 21 156 0 06 Feb 2024
Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation Chunjing Gan Dan Yang Binbin Hu Ziqi Liu Yue Shen Qing Cui Jinjie Gu Jun Zhou Guannan Zhang 37 5 0 08 Dec 2023
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,919 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020