Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning

Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning

9 September 2021

Prasetya Ajie Utama

Papers citing "Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning"

10 / 10 papers shown

Title
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 18 2 0 23 May 2023
Feature-Level Debiased Natural Language Understanding Yougang Lyu Piji Li Yechang Yang Maarten de Rijke Pengjie Ren Yukun Zhao Dawei Yin Z. Ren 17 10 0 11 Dec 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference S. Rajaee Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 20 5 0 07 Nov 2022
Robustness of Demonstration-based Learning Under Limited Data Scenario Hongxin Zhang Yanzhe Zhang Ruiyi Zhang Diyi Yang 22 13 0 19 Oct 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 13 81 0 25 Aug 2022
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 17 349 0 02 Sep 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 187 574 0 02 May 2018
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