NLPExplorer

SemEval - 2024

Total Papers:- 280

Total Papers accross all years:- 1352

Total Citations :- 0

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VerbaNexAI Lab at SemEval-2024 Task 10: Emotion recognition and reasoning in mixed-coded conversations based on an NRC VAD approach

iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers

Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text

Sina Alinejad at SemEval-2024 Task 7: Numeral Prediction using gpt3.5

Sina Alinejad | Erfan Moosavi Monazzah |

Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)

YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation

Kaiyuan Chen | Jin Wang | Xuejie Zhang |

MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness

KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning

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