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CoNLL - 2024
Total Papers:- 71
Total Papers accross all years:- 1584
Total Citations :- 0
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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
Xinru Yu |
Bin Guo |
Shiwei Luo |
Jie Wang |
Tao Ji |
Yuanbin Wu |
From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes
Zébulon Goriely |
Richard Diehl Martinez |
Andrew Caines |
Paula Buttery |
Lisa Beinborn |
BabyLM Challenge: Exploring the effect of variation sets on language model training efficiency
Akari Haga |
Akiyo Fukatsu |
Miyu Oba |
Arianna Bisazza |
Yohei Oseki |
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
Nikitas Theodoropoulos |
Giorgos Filandrianos |
Vassilis Lyberatos |
Maria Lymperaiou |
Giorgos Stamou |
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 |
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