NLPExplorer

SemEval - 2025

Total Papers:- 330

Total Papers accross all years:- 1682

Total Citations :- 0

« 1 2 3 4 5 6 7 8 9 10 »

Team KiAmSo at SemEval-2025 Task 11: A Comparison of Classification Models for Multi-label Emotion Detection

Kimberly Sharp | Sofia Kathmann | Amelie Rüeck |

dutir914 at SemEval-2025 Task 1: An integrated approach for Multimodal Idiomaticity Representations

DEMON at SemEval-2025 Task 10: Fine-tuning LLaMA-3 for Multilingual Entity Framing

Matteo Fenu | Manuela Sanguinetti | Maurizio Atzori |

DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing

Lisa Kluge | Maximilian Kähler |

Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA

Giuseppe Attardi | Andrea Nelson Mauro | Daniele Sartiano |

Swushroomsia at SemEval-2025 Task 3: Probing LLMs’ Collective Intelligence for Multilingual Hallucination Detection

Tue-JMS at SemEval-2025 Task 11: KReLax: An Ensemble-Based Approach for Multilingual Emotion Detection and Addressing Data Imbalance

Jingyu Han | Megan Horikawa | Suvi Lehtosalo |

Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models

Enfa Fane | Mihai Surdeanu | Eduardo Blanco | Steven Corman |

daalft at SemEval-2025 Task 1: Multi-step Zero-shot Multimodal Idiomaticity Ranking

David Alfter |

Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)

Sara Rosenthal | Aiala Rosá | Debanjan Ghosh | Marcos Zampieri |

zhouyijiang1 at SemEval-2025 Task 11: A Multi-tag Detection Method based on Pre-training Language Models

Zhou Jiang | Dengtao Zhang |

NotMyNarrative at SemEval-2025 Task 10: Do Narrative Features Share Across Languages in Multilingual Encoder Models?

TabaQA at SemEval-2025 Task 8: Column Augmented Generation for Question Answering over Tabular Data

CICL at SemEval-2025 Task 9: A Pilot Study on Different Machine Learning Models for Food Hazard Detection Challenge

Weiting Wang | Wanzhao Zhang |

GIL-IIMAS UNAM at SemEval-2025 Task 3: MeSSI: A Multilmodule System to detect hallucinated Segments in trivia-like Inquiries.