NLPExplorer

NAACL - 2024

Total Papers:- 668

Total Papers accross all years:- 6159

Total Citations :- 0

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Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes

Harmon Bhasin | Timothy Ossowski | Yiqiao Zhong | Junjie Hu |

Coding Open-Ended Responses using Pseudo Response Generation by Large Language Models

Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution

Xiyuan Zou | Yiran Li | Ian Porada | Jackie Cheung |

Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction

Chenming Tang | Fanyi Qu | Yunfang Wu |

LEAF: Language Learners’ English Essays and Feedback Corpus

Shabnam Behzad | Omid Kashefi | Swapna Somasundaran |

Fighting crime with Transformers: Empirical analysis of address parsing methods in payment data

Haitham Hammami | Louis Baligand | Bojan Petrovski |

A Continued Pretrained LLM Approach for Automatic Medical Note Generation

Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning

Leveraging LLMs for Dialogue Quality Measurement

Promptly Predicting Structures: The Return of Inference

Maitrey Mehta | Valentina Pyatkin | Vivek Srikumar |

On Retrieval Augmentation and the Limitations of Language Model Training

TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation

Taeyang Yun | Hyunkuk Lim | Jeonghwan Lee | Min Song |

FPT: Feature Prompt Tuning for Few-shot Readability Assessment

Ziyang Wang | Sanwoo Lee | Hsiu-Yuan Huang | Yunfang Wu |