NLPExplorer

SemEval - 2024

Total Papers:- 280

Total Papers accross all years:- 1352

Total Citations :- 0

« 1 2 3 4 5 6 7 8 9 10 »

JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models

Arefa . | Mohammed Abbas Ansari | Chandni Saxena | Tanvir Ahmad |

Sina Alinejad at SemEval-2024 Task 7: Numeral Prediction using gpt3.5

Sina Alinejad | Erfan Moosavi Monazzah |

KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection

Michal Spiegel | Dominik Macko |

VerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship Detection

Anderson Morillo | Daniel Peña | Juan Carlos Martinez Santos | Edwin Puertas |

UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text Detection

Ronghao Pan | José Antonio García-díaz | Pedro José Vivancos-vicente | Rafael Valencia-garcía |

SemEval-2024 Task 5: Argument Reasoning in Civil Procedure

Lena Held | Ivan Habernal |

MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection

Tübingen-CL at SemEval-2024 Task 1: Ensemble Learning for Semantic Relatedness Estimation

Leixin Zhang | Çağrı Çöltekin |

Abdelhak at SemEval-2024 Task 9: Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPT

Abdelhak Kelious | Mounir Okirim |

eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure

Hoorieh Sabzevari | Mohammadmostafa Rostamkhani | Sauleh Eetemadi |

Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization

Pawan Rajpoot | Nut Chukamphaeng |

SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes

CAILMD-23 at SemEval-2024 Task 1: Multilingual Evaluation of Semantic Textual Relatedness

TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed Text

Valentin Pickard | Hoa Do |