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Robust Prompt Optimization for Large Language Models Against Distribution Shifts

23 May 2023

Papers citing "Robust Prompt Optimization for Large Language Models Against Distribution Shifts"

26 / 26 papers shown

Title
Knowledge Graph Completion with Relation-Aware Anchor Enhancement Duanyang Yuan Sihang Zhou Xiaoshu Chen Dong Wang K. Liang Xinwang Liu Jian Huang 90 1 0 08 Apr 2025
Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs Lynn Greschner Roman Klinger 143 2 0 20 Dec 2024
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks Xuanting Chen Junjie Ye Can Zu Nuo Xu Rui Zheng Minlong Peng Jie Zhou Tao Gui Qi Zhang Xuanjing Huang AI4MH ELM 59 83 0 01 Mar 2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective Jindong Wang Xixu Hu Wenxin Hou Hao Chen Runkai Zheng ... Weirong Ye Xiubo Geng Binxing Jiao Yue Zhang Xingxu Xie AI4MH 118 234 0 22 Feb 2023
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning Yunhu Ye Binyuan Hui Min Yang Binhua Li Fei Huang Yongbin Li LMTD ReLM LRM 103 160 0 31 Jan 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 102 81 0 15 Nov 2022
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models Alessandro Stolfo Zhijing Jin Kumar Shridhar Bernhard Schölkopf Mrinmaya Sachan ELM OOD LRM 78 66 0 21 Oct 2022
Scaling Instruction-Finetuned Language Models Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay ... Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le Jason W. Wei ReLM LRM 189 3,128 0 20 Oct 2022
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers Weng Lam Tam Xiao Liu Kaixuan Ji Lilong Xue Xing Zhang Yuxiao Dong Jiahua Liu Maodi Hu Jie Tang VPVLM 74 27 0 14 Jul 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Yizhong Wang Swaroop Mishra Pegah Alipoormolabashi Yeganeh Kordi Amirreza Mirzaei ... Chitta Baral Yejin Choi Noah A. Smith Hannaneh Hajishirzi Daniel Khashabi ELM 123 846 0 16 Apr 2022
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models Archiki Prasad Peter Hase Xiang Zhou Joey Tianyi Zhou 95 123 0 14 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 817 9,576 0 28 Jan 2022
Learning To Retrieve Prompts for In-Context Learning Ohad Rubin Jonathan Herzig Jonathan Berant VPVLM RALM 84 702 0 16 Dec 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 198 286 0 15 Oct 2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning Yuxian Gu Xu Han Zhiyuan Liu Minlie Huang VLM 93 416 0 09 Sep 2021
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification Shengding Hu Ning Ding Huadong Wang Zhiyuan Liu Jingang Wang Juan-Zi Li Wei Wu Maosong Sun VLM 87 367 0 04 Aug 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 573 4,047 0 18 Apr 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Guanghui Qin J. Eisner 61 546 0 14 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 385 1,379 0 17 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 244 4,261 0 01 Jan 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 126 973 0 15 Sep 2020
MuTual: A Dataset for Multi-Turn Dialogue Reasoning Leyang Cui Yu-Huan Wu Shujie Liu Yue Zhang Ming Zhou LRM 50 152 0 09 Apr 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 348 1,615 0 21 Jan 2020
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 125 1,006 0 31 Oct 2019
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 1.1K 7,182 0 20 Apr 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,479 0 18 Apr 2017