NLPExplorer

WS - 2024

Total Papers:- 2312

Total Papers accross all years:- 22752

Total Citations :- 0

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The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning

Automatic Quality Estimation for Data Selection and Curriculum Learning

Hiep Nguyen | Lynn Yip | Justin DeBenedetto |

Towards Data-Efficient Language Models: A Child-Inspired Approach to Language Learning

Mohammad Amin Ghanizadeh | Mohammad Javad Dousti |

WhatIf: Leveraging Word Vectors for Small-Scale Data Augmentation

Alex Lyman | Bryce Hepner |

BERT or GPT: why not both?

Lucas Georges Gabriel Charpentier | David Samuel |

When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets?

Srikrishna Iyer |

AntLM: Bridging Causal and Masked Language Models

From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes

BabyLM Challenge: Exploring the effect of variation sets on language model training efficiency

Integrating Quasi-symbolic Conceptual Knowledge into Language Model Pre-training

Gábor Berend |

What should Baby Models read? Exploring Sample-Efficient Data Composition on Model Performance

Hong Meng Yam | Nathan Paek |

BERTtime Stories: Investigating the Role of Synthetic Story Data in Language Pre-training

Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies

Suchir Salhan | Richard Diehl Martinez | Zébulon Goriely | Paula Buttery |

BabyHGRN: Exploring RNNs for Sample-Efficient Language Modeling

Patrick Haller | Jonas Golde | Alan Akbik |