NLPExplorer

DADC - 2022

Total Papers:- 9

Total Papers accross all years:- 9

Total Citations :- 0

1

Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair

Jason Phang | Angelica Chen | William Huang | Samuel R. Bowman |

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.

Venelin Kovatchev | Trina Chatterjee | Venkata S Govindarajan | Jifan Chen | Eunsol Choi | Gabriella Chronis | Anubrata Das | Katrin Erk | Matthew Lease | Junyi Jessy Li | Yating Wu | Kyle Mahowald |

Posthoc Verification and the Fallibility of the Ground Truth

Yifan Ding | Nicholas Botzer | Tim Weninger |

Overconfidence in the Face of Ambiguity with Adversarial Data

Margaret Li | Julian Michael |

Proceedings of the First Workshop on Dynamic Adversarial Data Collection

Max Bartolo | Hannah Kirk | Pedro Rodriguez | Katerina Margatina | Tristan Thrush | Robin Jia | Pontus Stenetorp | Adina Williams | Douwe Kiela |

Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks

Ruixiang Cui | Daniel Hershcovich | Anders Søgaard |

Collecting high-quality adversarial data for machine reading comprehension tasks with humans and models in the loop

Damian Y. Romero Diaz | Magdalena Anioł | John Culnan |

Resilience of Named Entity Recognition Models under Adversarial Attack

Sudeshna Das | Jiaul Paik |

GreaseVision: Rewriting the Rules of the Interface

Siddhartha Datta | Konrad Kollnig | Nigel Shadbolt |

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