NLPExplorer

SemEval - 2024

Total Papers:- 280

Total Papers accross all years:- 1352

Total Citations :- 0

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TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models

Fine-tuning Language Models for AI vs Human Generated Text detection

Sankalp Bahad | Yash Bhaskar | Parameswari Krishnamurthy |

Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models

Vishruth Veerendranath | Vishwa Shah | Kshitish Ghate |

NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical Trials

Lung-hao Lee | Chen-ya Chiou | Tzu-mi Lin |

Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination Detection

Patanjali Bhamidipati | Advaith Malladi | Manish Shrivastava | Radhika Mamidi |

NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA

Anish Pahilajani | Samyak Jain | Devasha Trivedi |

Deja Vu at SemEval 2024 Task 9: A Comparative Study of Advanced Language Models for Commonsense Reasoning

Trina Chakraborty | Marufur Rahman | Md Omar Faruqe |

Groningen Team F at SemEval-2024 Task 8: Detecting Machine-Generated Text using Feature-Based Machine Learning Models

Rina Donker | Björn Overbeek | Dennis Thulden | Oscar Zwagers |

NCL Team at SemEval-2024 Task 3: Fusing Multimodal Pre-training Embeddings for Emotion Cause Prediction in Conversations

Shu Li | Zicen Liao | Huizhi Liang |

McRock at SemEval-2024 Task 4: Mistral 7B for Multilingual Detection of Persuasion Techniques In Memes

Marco Siino |

UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation

Shubhashis Roy Dipta | Sai Vallurupalli |

PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations

Roman Kazakov | Kseniia Petukhova | Ekaterina Kochmar |

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 |

SemEval Task 8: A Comparison of Traditional and Neural Models for Detecting Machine Authored Text

Srikar Kashyap Pulipaka | Shrirang Mhalgi | Joseph Larson | Sandra Kübler |

FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations