NLPExplorer

CoNLL - 2023

Total Papers:- 74

Total Papers accross all years:- 1554

Total Citations :- 0

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Tiny Language Models Enriched with Multimodal Knowledge from Multiplex Networks

PSST! Prosodic Speech Segmentation with Transformers

Nathan Roll | Calbert Graham | Simon Todd |

Med-HALT: Medical Domain Hallucination Test for Large Language Models

Ankit Pal | Logesh Kumar Umapathi | Malaikannan Sankarasubbu |

Cross-Document Event Coreference Resolution: Instruct Humans or Instruct GPT?

Jin Zhao | Nianwen Xue | Bonan Min |

Too Much Information: Keeping Training Simple for BabyLMs

Lukas Edman | Lisa Bylinina |

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

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

Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models

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 |

Mmi01 at The BabyLM Challenge: Linguistically Motivated Curriculum Learning for Pretraining in Low-Resource Settings

Maggie Mi |

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

Inar Timiryasov | Jean-Loup Tastet |

Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets

Risako Owan | Maria Gini | Dongyeop Kang |

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

ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages

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

Justin DeBenedetto |

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora