NLPExplorer

CoNLL - 2023

Total Papers:- 74

Total Papers accross all years:- 1554

Total Citations :- 0

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BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?

Xingmeng Zhao | Tongnian Wang | Sheri Osborn | Anthony Rios |

Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics

Yuhan Zhang | Edward Gibson | Forrest Davis |

Investigating the Nature of Disagreements on Mid-Scale Ratings: A Case Study on the Abstractness-Concreteness Continuum

Urban Knupleš | Diego Frassinelli | Sabine Schulte im Walde |

Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings

David Samuel |

Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty

Inar Timiryasov | Jean-Loup Tastet |

ChiSCor: A Corpus of Freely-Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science

Bram van Dijk | Max van Duijn | Suzan Verberne | Marco Spruit |

On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining

The Impact of Familiarity on Naming Variation: A Study on Object Naming in Mandarin Chinese

Yunke He | Xixian Liao | Jialing Liang | Gemma Boleda |

Byte-ranked Curriculum Learning for BabyLM Strict-small Shared Task 2023

Justin DeBenedetto |

ToddlerBERTa: Exploiting BabyBERTa for Grammar Learning and Language Understanding

Ömer Veysel Çağatan |

JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models

Yuiga Wada | Kanta Kaneda | Komei Sugiura |

How Fragile is Relation Extraction under Entity Replacements?

Grammar induction pretraining for language modeling in low resource contexts

Xuanda Chen | Eva Portelance |

Challenging the “One Single Vector per Token” Assumption

Mathieu Dehouck |

Tiny Language Models Enriched with Multimodal Knowledge from Multiplex Networks