NLPExplorer

SemEval - 2025

Total Papers:- 330

Total Papers accross all years:- 1682

Total Citations :- 0

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Team INSALyon2 at SemEval-2025 Task 10: A Zero-shot Agentic Approach to Text Classification

Mohamed - Nour Eljadiri | Diana Nurbakova |

REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models

DongGeon Lee | Hwanjo Yu |

Samsung Research Poland at SemEval-2025 Task 8: LLM ensemble methods for QA over tabular data

SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes

WC Team at SemEval-2025 Task 6: PromiseEval: Multinational, Multilingual, Multi-Industry Promise Verification leveraging monolingual and multilingual BERT models

Takumi Nishi | Nicole Miu Takagi |

Team UBD at SemEval-2025 Task 11: Balancing Class and Task Importance for Emotion Detection

Cristian Paduraru |

GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints

NarrativeMiners at SemEval-2025 Task 10: Combating Manipulative Narratives in Online News

IEGPS-CSIC at SemEval-2025 Task 11: BERT-based approach for Multi-label Emotion Detection in English and Russian texts

Albina Sarymsakova | Patricia Martin - Rodilla |

SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation

Saransh Agrawal | Kuan - Hao Huang |

OZemi at SemEval-2025 Task 11: Multilingual Emotion Detection and Intensity

YNU-HPCC at SemEval-2025 Task 2: Local Cache and Online Retrieval-Based method for Entity-Aware Machine Translation

Hao Li | Jin Wang | Xuejie Zhang |

UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation

Thanet Markchom | Tong Wu | Liting Huang | Huizhi Liang |

Sakura at SemEval-2025 Task 2: Enhancing Named Entity Translation with Fine-Tuning and Preference Optimization

Alberto Poncelas | Ohnmar Htun |