NLPExplorer

Eval4NLP - 2023

Total Papers:- 20

Total Papers accross all years:- 63

Total Citations :- 0

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HIT-MI&T Lab’s Submission to Eval4NLP 2023 Shared Task

Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation

Assessing Distractors in Multiple-Choice Tests

Vatsal Raina | Adian Liusie | Mark Gales |

Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task

Neema Kotonya | Saran Krishnasamy | Joel Tetreault | Alejandro Jaimes |

Characterised LLMs Affect its Evaluation of Summary and Translation

Yuan Lu | Yu-Ting Lin |

Reference-Free Summarization Evaluation with Large Language Models

Abbas Akkasi | Kathleen Fraser | Majid Komeili |

Understanding Large Language Model Based Metrics for Text Summarization

Abhishek Pradhan | Ketan Todi |

Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems

WRF: Weighted Rouge-F1 Metric for Entity Recognition

Lukas Weber | Krishnan Jothi Ramalingam | Matthias Beyer | Axel Zimmermann |

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics

LTRC_IIITH’s 2023 Submission for Prompting Large Language Models as Explainable Metrics Task

Pavan Baswani | Ananya Mukherjee | Manish Shrivastava |

Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End

Yanran Chen | Steffen Eger |

Delving into Evaluation Metrics for Generation: A Thorough Assessment of How Metrics Generalize to Rephrasing Across Languages

Yixuan Wang | Qingyan Chen | Duygu Ataman |