NLPExplorer

SemEval - 2025

Total Papers:- 330

Total Papers accross all years:- 1682

Total Citations :- 0

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FiRC-NLP at SemEval-2025 Task 11: To Prompt or to Fine-Tune? Approaches for Multilingual Emotion Classification

Wondimagegnhue Tufa | Fadi Hassan | Evgenii Migaev | Yalei Fu |

Firefly Team at SemEval-2025 Task 8: Question-Answering over Tabular Data using SQL/Python generation with Closed-Source Large Language Models

Nga Ho | Tuyen Ho | Hung Le | Dang Thin |

SRCB at SemEval-2025 Task 9: LLM Finetuning Approach based on External Attention Mechanism in The Food Hazard Detection

UTBNLP at Semeval-2025 Task 11: Predicting Emotion Intensity with BERT and VAD-Informed Attention.

Melissa Moreno | Juan Martínez Santos | Edwin Puertas |

silp_nlp at SemEval-2025 Task 2: An Effect of Entity Awareness in Machine Translation Using LLM

Sumit Singh | Pankaj Goyal | Uma Tiwary |

YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification

Tewodros at SemEval-2025 Task 11: Multilingual Emotion Intensity Detection using Small Language Models

McGill-NLP at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection

Vivek Verma | David Ifeoluwa Adelani |

Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging

University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection

YNU-HPCC at SemEval-2025 Task3: Leveraging Zero-Shot Learning for Halluciantion Detection

Shen Chen | Jin Wang | Xuejie Zhang |

GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification

Iknoor Singh | Carolina Scarton | Kalina Bontcheva |

LATE-GIL-NLP at SemEval-2025 Task 11: Multi-Language Emotion Detection and Intensity Classification Using Transformer Models with Optimized Loss Functions for Imbalanced Data

FJWU_Squad at SemEval-2025 Task 1: An Idiom Visual Understanding Dataset for Idiom Learning

Maira Khatoon | Arooj Kiyani | Tehmina Farid | Sadaf Abdul Rauf |

AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking