NLPExplorer

BlackboxNLP - 2023

Total Papers:- 30

Total Papers accross all years:- 107

Total Citations :- 0

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Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

Disentangling the Linguistic Competence of Privacy-Preserving BERT

Stefan Arnold | Nils Kemmerzell | Annika Schreiner |

Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model

Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling

Akshat Gupta |

Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models

NPIs Aren’t Exactly Easy: Variation in Licensing across Large Language Models

Deanna DeCarlo | William Palmer | Michael Wilson | Bob Frank |

Causal Abstraction for Chain-of-Thought Reasoning in Arithmetic Word Problems

Juanhe (TJ) Tan |

Evaluating Transformer’s Ability to Learn Mildly Context-Sensitive Languages

Shunjie Wang | Shane Steinert-Threlkeld |

METAPROBE: A Representation- and Task-Agnostic Probe

Yichu Zhou | Vivek Srikumar |

Enhancing Interpretability Using Human Similarity Judgements to Prune Word Embeddings

Natalia Flechas Manrique | Wanqian Bao | Aurelie Herbelot | Uri Hasson |

Investigating the Effect of Discourse Connectives on Transformer Surprisal: Language Models Understand Connectives, Even So They Are Surprised

Yan Cong | Emmanuele Chersoni | Yu-Yin Hsu | Philippe Blache |

Explaining Data Patterns in Natural Language with Language Models

Investigating the Encoding of Words in BERT’s Neurons Using Feature Textualization

Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests

Aishik Chakraborty | Jackie CK Cheung | Timothy J. O’Donnell |