NLPExplorer

GEM - 2023

Total Papers:- 33

Total Papers accross all years:- 96

Total Citations :- 0

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A Simple yet Efficient Ensemble Approach for AI-generated Text Detection

Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity

Formalizing content creation and evaluation methods for AI-generated social media content

Christian Jensen | Axel Højmark |

Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs

Xue-Yong Fu | Md Tahmid Rahman Laskar | Cheng Chen | Shashi Bhushan Tn |

Context and Literacy Aware Learnable Metric for Text Simplification

Jeongwon Kwak | Hyeryun Park | Kyungmo Kim | Jinwook Choi |

Towards Effective Long-Form QA with Evidence Augmentation

Mengxia Yu | Sara Rosenthal | Mihaela Bornea | Avi Sil |

Automatic Evaluation of Generative Models with Instruction Tuning

Shuhaib Mehri | Vered Shwartz |

Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text

Isaac Caswell | Lisa Wang | Isabel Papadimitriou |

One-Shot and Few-Shot Exemplification Modeling

Post Turing: Mapping the landscape of LLM Evaluation

Alexey Tikhonov | Ivan P. Yamshchikov |

Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)

Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses

Xenia Ohmer | Elia Bruni | Dieuwke Hupkes |

Dialogue Quality and Emotion Annotations for Customer Support Conversations

ChatGPT as a Java Decompiler

Bradley Mcdanel | Zhanhao Liu |