NLPExplorer

BlackboxNLP - 2023

Total Papers:- 30

Total Papers accross all years:- 107

Total Citations :- 0

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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 |

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

Akshat Gupta |

Explaining Data Patterns in Natural Language with Language Models

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Neel Nanda | Andrew Lee | Martin Wattenberg |

Unveiling Multilinguality in Transformer Models: Exploring Language Specificity in Feed-Forward Networks

Sunit Bhattacharya | Ondřej Bojar |

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

Shunjie Wang | Shane Steinert-Threlkeld |

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

Self-Consistency of Large Language Models under Ambiguity

Layered Bias: Interpreting Bias in Pretrained Large Language Models

Nirmalendu Prakash | Roy Ka-Wei Lee |

Disentangling the Linguistic Competence of Privacy-Preserving BERT

Stefan Arnold | Nils Kemmerzell | Annika Schreiner |

Rigorously Assessing Natural Language Explanations of Neurons

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

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

The Self-Contained Negation Test Set

David Kletz | Pascal Amsili | Marie Candito |

Enhancing Interpretability Using Human Similarity Judgements to Prune Word Embeddings

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