NLPExplorer

WS - 2025

Total Papers:- 2561

Total Papers accross all years:- 24858

Total Citations :- 0

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Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD

Saurav Aryal | Mildness Akomoize |

PAI at SemEval-2025 Task 11: A Large Language Model Ensemble Strategy for Text-Based Emotion Detection

AlphaPro at SemEval-2025 Task 8: A Code Generation Approach for Question-Answering over Tabular Data

Modgenix at SemEval-2025 Task 1: Context Aware Vision Language Ranking (CAViLR) for Multimodal Idiomaticity Understanding

Joydeb Mondal | Pramir Sarkar |

LA²I²F at SemEval-2025 Task 5: Reasoning in Embedding Space – Fusing Analogical and Ontology-based Reasoning for Document Subject Tagging

YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss Optimization

PALI-NLP at SemEval 2025 Task 1: Multimodal Idiom Recognition and Alignment

Runyang You | Xinyue Mei | Mengyuan Zhou |

NLP-Cimat at SemEval-2025 Task 11: Prompt Optimization for LLMs via Genetic Algorithms and Systematic Mutation applied on Emotion Detection

Guillermo Segura-Gómez | Adrian Pastor Lopez Monroy | Fernando Sanchez - Vega | Alejandro Rosales Pérez |

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

Mohamed - Nour Eljadiri | Diana Nurbakova |

ReproHum: #0744-02: Investigating the Reproducibility of Semantic Preservation Human Evaluations

Mohammad Arvan | Natalie Parde |

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

DongGeon Lee | Hwanjo Yu |

ReproHum #0744-02: A Reproduction of the Human Evaluation of Meaning Preservation in “Factorising Meaning and Form for Intent-Preserving Paraphrasing”

Julius Steen | Katja Markert |

Knockout LLM Assessment: Using Large Language Models for Evaluations through Iterative Pairwise Comparisons

Isik Baran Sandan | Tu Anh Dinh | Jan Niehues |

Towards better annotation practices for symmetrical voice in Universal Dependencies

Andrew Thomas Dyer | Colleen Alena O’Brien |

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