NLPExplorer

NAACL - 2024

Total Papers:- 668

Total Papers accross all years:- 6159

Total Citations :- 0

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Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences

Hongyi Liu | Qingyun Wang | Payam Karisani | Heng Ji |

A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers

Jordan Meadows | Marco Valentino | Damien Teney | Andre Freitas |

Start Simple: Progressive Difficulty Multitask Learning

Yunfei Luo | Yuyang Liu | Rukai Cai | Tauhidur Rahman |

Extractive Summarization with Text Generator

Thang Le | Anh Tuan Luu |

EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM

Adaptive Rank Selections for Low-Rank Approximation of Language Models

SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window

Vikas Raunak | Tom Kocmi | Matt Post |

evision PDF of 'LLMs Are Few-Shot In-Context Low-Resource Language Learners

Samuel Cahyawijaya | Holy Lovenia | Pascale Fung |

Improving Multi-lingual Alignment Through Soft Contrastive Learning

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Multi-Operational Mathematical Derivations in Latent Space

Marco Valentino | Jordan Meadows | Lan Zhang | Andre Freitas |

SMARTR: A Framework for Early Detection using Survival Analysis of Longitudinal Texts

Jean-Thomas Baillargeon | Luc Lamontagne |

Assessing Factual Reliability of Large Language Model Knowledge

Weixuan Wang | Barry Haddow | Alexandra Birch | Wei Peng |

Few-Shot Event Argument Extraction Based on a Meta-Learning Approach

Aboubacar Tuo | Romaric Besançon | Olivier Ferret | Julien Tourille |

ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models