Robustness of Demonstration-based Learning Under Limited Data Scenario

Robustness of Demonstration-based Learning Under Limited Data Scenario

19 October 2022

Diyi Yang

Papers citing "Robustness of Demonstration-based Learning Under Limited Data Scenario"

19 / 19 papers shown

Title
Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs Jungsoo Park Junmo Kang Gabriel Stanovsky Alan Ritter 52 0 0 26 Feb 2025
Implicit In-context Learning Zhuowei Li Zihao Xu Ligong Han Yunhe Gao Song Wen Di Liu Hao Wang Dimitris N. Metaxas 38 1 0 23 May 2024
Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled by Auto-regressive LLMs' Prompting Xinzhe Li Ming Liu 29 0 0 17 May 2024
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances Zhendong Chu Ruiyi Zhang Tong Yu R. Jain Vlad I. Morariu Jiuxiang Gu A. Nenkova NoLa 17 2 0 25 Oct 2023
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction Gang Zhao Xiaocheng Gong Xinjie Yang Guanting Dong Shudong Lu Si Li 18 11 0 16 Oct 2023
Understanding In-Context Learning via Supportive Pretraining Data Xiaochuang Han Daniel Simig Todor Mihaylov Yulia Tsvetkov Asli Celikyilmaz Tianlu Wang AIMat 26 33 0 26 Jun 2023
Learning In-context Learning for Named Entity Recognition Jiawei Chen Yaojie Lu Hongyu Lin Jie Lou Wei Jia Dai Dai Hua-Hong Wu Boxi Cao Xianpei Han Le Sun NAI 47 18 0 18 May 2023
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis Wenhao Zhu Hongyi Liu Qingxiu Dong Jingjing Xu Shujian Huang Lingpeng Kong Jiajun Chen Lei Li LRM 23 139 0 10 Apr 2023
The Life Cycle of Knowledge in Big Language Models: A Survey Boxi Cao Hongyu Lin Xianpei Han Le Sun KELM 26 27 0 14 Mar 2023
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning Omar Shaikh Hongxin Zhang William B. Held Michael S. Bernstein Diyi Yang ReLM LRM 24 181 0 15 Dec 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 315 8,261 0 28 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 126 130 0 15 Dec 2021
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER Dong-Ho Lee Akshen Kadakia Kangmin Tan Mahak Agarwal Xinyu Feng Takashi Shibuya Ryosuke Mitani Toshiyuki Sekiya Jay Pujara Xiang Ren 31 84 0 16 Oct 2021
Template-free Prompt Tuning for Few-shot NER Ruotian Ma Xin Zhou Tao Gui Y. Tan Linyang Li Qi Zhang Xuanjing Huang VLM 143 176 0 28 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 56 35 0 09 Sep 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
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 251 1,584 0 21 Jan 2020