Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets

4 April 2019

Papers citing "Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets"

20 / 20 papers shown

Title
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets Vatsal Gupta Pranshu Pandya Tushar Kataria Vivek Gupta Dan Roth AAML 53 1 0 03 Jan 2025
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 56 0 0 13 Mar 2024
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 21 20 0 14 Feb 2023
Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization Zhenyu Lu 11 1 0 16 Dec 2022
Enhancing Tabular Reasoning with Pattern Exploiting Training Abhilash Shankarampeta Vivek Gupta Shuo Zhang LMTD RALM ReLM 58 6 0 21 Oct 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking Ronen Tamari Kyle Richardson Aviad Sar-Shalom Noam Kahlon Nelson F. Liu Reut Tsarfaty Dafna Shahaf 28 5 0 30 Nov 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
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics Hitomi Yanaka K. Mineshima Kentaro Inui NAI AI4CE 20 11 0 02 Jun 2021
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA Yonatan Bitton Gabriel Stanovsky Roy Schwartz Michael Elhadad CoGe 9 33 0 17 Mar 2021
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models Lifu Tu Garima Lalwani Spandana Gella He He LRM 19 183 0 14 Jul 2020
Logical Inferences with Comparatives and Generalized Quantifiers Izumi Haruta K. Mineshima D. Bekki ELM 11 11 0 16 May 2020
Robust Encodings: A Framework for Combating Adversarial Typos Erik Jones Robin Jia Aditi Raghunathan Percy Liang AAML 122 102 0 04 May 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 25 30 0 02 May 2020
Elastic weight consolidation for better bias inoculation James Thorne Andreas Vlachos 9 11 0 29 Apr 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics Junghyun Min R. Thomas McCoy Dipanjan Das Emily Pitler Tal Linzen 23 175 0 24 Apr 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 29 220 0 10 Feb 2020
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets Ohad Rozen Vered Shwartz Roee Aharoni Ido Dagan AAML 8 37 0 21 Oct 2019
A Logic-Driven Framework for Consistency of Neural Models Tao Li Vivek Gupta Maitrey Mehta Vivek Srikumar AI4CE 13 101 0 31 Aug 2019
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 196 1,363 0 06 Jun 2016