NLPExplorer

CoNLL - 2024

Total Papers:- 71

Total Papers accross all years:- 1584

Total Citations :- 0

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Extending the BabyLM Initiative : Promoting Diversity in Datasets and Metrics through High-Quality Linguistic Corpora

Laurent Prévot | Sheng-Fu Wang | Jou-An Chi | Shu-Kai Hsieh |

Developmentally Plausible Multimodal Language Models Are Highly Modular

Alina Klerings | Christian Bartelt | Aaron Mueller |

ELC-ParserBERT: Low-Resource Language Modeling Utilizing a Parser Network With ELC-BERT

Rufus Behr |

Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence

Shaozhen Shi | Yevgen Matusevych | Malvina Nissim |

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

Graphemes vs. phonemes: battling it out in character-based language models

Bastian Bunzeck | Daniel Duran | Leonie Schade | Sina Zarrieß |

Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training Data

Different Ways to Forget: Linguistic Gates in Recurrent Neural Networks

Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data

Are BabyLMs Second Language Learners?

Lukas Edman | Lisa Bylinina | Faeze Ghorbanpour | Alexander Fraser |

BabyLM Challenge: Experimenting with Self-Distillation and Reverse-Distillation for Language Model Pre-Training on Constrained Datasets

Aakarsh Nair | Alina Hancharova | Mayank Kumar | Ali Gharaee |

BabyLlama-2: Ensemble-Distilled Models Consistently Outperform Teachers With Limited Data

Jean-Loup Tastet | Inar Timiryasov |

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 |