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SemEval 2024

279 papers

TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis

Spandan Das, Vinay Samuel, Shahriar Noroozizadeh

RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts

Ram Mohan Rao Kadiyala

BERTastic at SemEval-2024 Task 4: State-of-the-Art Multilingual Propaganda Detection in Memes via Zero-Shot Learning with Vision-Language Models

Tarek Mahmoud, Preslav Nakov

JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation

Xinyi Liu, Xintong Liu, Hengyang Lu

Team AT at SemEval-2024 Task 8: Machine-Generated Text Detection with Semantic Embeddings

Yuchen Wei

HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?

Shubhashis Roy Dipta, Sadat Shahriar

Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text

Joseph Larson, Francis Tyers

YNU-HPCC at SemEval-2024 Task 9: Using Pre-trained Language Models with LoRA for Multiple-choice Answering Tasks

Jie Wang, Jin Wang, Xuejie Zhang

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

Xiaoman Xu, Xiangrun Li, Taihang Wang, Jianxiang Tian, Ye Jiang

BAMBAS at SemEval-2024 Task 4: How far can we get without looking at hierarchies?

Arthur Vasconcelos, Luiz Felipe De Melo, Eduardo Goncalves, Eduardo Bezerra, Aline Paes

RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written Texts

Mohammad Heydari Rad, Farhan Farsi, Shayan Bali, Romina Etezadi, Mehrnoush Shamsfard

SuteAlbastre at SemEval-2024 Task 4: Predicting Propaganda Techniques in Multilingual Memes using Joint Text and Vision Transformers

Ion Anghelina, Gabriel Buță, Alexandru Enache

CRCL at SemEval-2024 Task 2: Simple prompt optimizations

Clement Brutti-mairesse, Loic Verlingue

USMBA-NLP at SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials using Bert

Anass Fahfouh, Abdessamad Benlahbib, Jamal Riffi, Hamid Tairi

Text Mining at SemEval-2024 Task 1: Evaluating Semantic Textual Relatedness in Low-resource Languages using Various Embedding Methods and Machine Learning Regression Models

Ron Keinan

LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation

Mihaela Alexandru, Călina Ciocoiu, Ioana Măniga, Octavian Ungureanu, Daniela Gifu

Team Unibuc - NLP at SemEval-2024 Task 8: Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection

Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu

Kathlalu at SemEval-2024 Task 8: A Comparative Analysis of Binary Classification Methods for Distinguishing Between Human and Machine-generated Text

Lujia Cao, Ece Lara Kilic, Katharina Will

Groningen team D at SemEval-2024 Task 8: Exploring data generation and a combined model for fine-tuning LLMs for Multidomain Machine-Generated Text Detection

Thijs Brekhof, Xuanyi Liu, Joris Ruitenbeek, Niels Top, Yuwen Zhou

0x.Yuan at SemEval-2024 Task 5: Enhancing Legal Argument Reasoning with Structured Prompts

Yu-An Lu, Hung-Yu Kao

All-Mpnet at SemEval-2024 Task 1: Application of Mpnet for Evaluating Semantic Textual Relatedness

Marco Siino

Hidetsune at SemEval-2024 Task 10: An English Based Approach to Emotion Recognition in Hindi-English code-mixed Conversations Using Machine Learning and Machine Translation

Hidetsune Takahashi

Hidetsune at SemEval-2024 Task 4: An Application of Machine Learning to Multilingual Propagandistic Memes Identification Using Machine Translation

Hidetsune Takahashi

CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in Hinglish

Ankit Vaidya, Aditya Gokhale, Arnav Desai, Ishaan Shukla, Sheetal Sonawane

Hidetsune at SemEval-2024 Task 3: A Simple Textual Approach to Emotion Classification and Emotion Cause Analysis in Conversations Using Machine Learning and Next Sentence Prediction

Hidetsune Takahashi

NewbieML at SemEval-2024 Task 8: Ensemble Approach for Multidomain Machine-Generated Text Detection

Bao Tran, Nhi Tran

QFNU_CS at SemEval-2024 Task 3: A Hybrid Pre-trained Model based Approach for Multimodal Emotion-Cause Pair Extraction Task

Zining Wang, Yanchao Zhao, Guanghui Han, Yang Song

Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models

Rahul Mehta, Andrew Hoblitzell, Jack O’keefe, Hyeju Jang, Vasudeva Varma

NLP_STR_teamS at SemEval-2024 Task1: Semantic Textual Relatedness based on MASK Prediction and BERT Model

Lianshuang Su, Xiaobing Zhou

GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs

Vy Nguyen, Xiuzhen Zhang

UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis

Josef Baloun, Jiri Martinek, Ladislav Lenc, Pavel Kral, Matěj Zeman

TW-NLP at SemEval-2024 Task10: Emotion Recognition and Emotion Reversal Inference in Multi-Party Dialogues.

Wei Tian, Peiyu Ji, Lei Zhang, Yue Jian

0x.Yuan at SemEval-2024 Task 2: Agents Debating can reach consensus and produce better outcomes in Medical NLI task

Yu-An Lu, Hung-Yu Kao

TransMistral at SemEval-2024 Task 10: Using Mistral 7B for Emotion Discovery and Reasoning its Flip in Conversation

Marco Siino

DeBERTa at SemEval-2024 Task 9: Using DeBERTa for Defying Common Sense

Marco Siino

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

Shu Li, Zicen Liao, Huizhi Liang

HIJLI_JU at SemEval-2024 Task 7: Enhancing Quantitative Question Answering Using Fine-tuned BERT Models

Partha Sengupta, Sandip Sarkar, Dipankar Das

DeepPavlov at SemEval-2024 Task 6: Detection of Hallucinations and Overgeneration Mistakes with an Ensemble of Transformer-based Models

Ivan Maksimov, Vasily Konovalov, Andrei Glinskii

Byun at SemEval-2024 Task 6: Text Classification on Hallucinating Text with Simple Data Augmentation

Cheolyeon Byun

NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation

Junzhe Zhao, Yingxi Wang, Huizhi Liang, Nicolay Rusnachenko

NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT

Thanet Markchom, Subin Jung, Huizhi Liang

WarwickNLP at SemEval-2024 Task 1: Low-Rank Cross-Encoders for Efficient Semantic Textual Relatedness

Fahad Ebrahim, Mike Joy

BadRock at SemEval-2024 Task 8: DistilBERT to Detect Multigenerator, Multidomain and Multilingual Black-Box Machine-Generated Text

Marco Siino

yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking Challenges

Qi Yang, Jingjie Zeng, Liang Yang, Hongfei Lin

BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense

Baktash Ansari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi

ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning

Zhen Qian, Xiaofei Xu, Xiuzhen Zhang

NLP-LISAC at SemEval-2024 Task 1: Transformer-based approaches for Determining Semantic Textual Relatedness

Abdessamad Benlahbib, Anass Fahfouh, Hamza Alami, Achraf Boumhidi

OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs

Vineet Saravanan, Steven Wilson

Abdelhak at SemEval-2024 Task 9: Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPT

Abdelhak Kelious, Mounir Okirim

SCaLAR NITK at SemEval-2024 Task 5: Towards Unsupervised Question Answering system with Multi-level Summarization for Legal Text

Manvith Prabhu, Haricharana Srinivasa, Anand Kumar

HausaNLP at SemEval-2024 Task 1: Textual Relatedness Analysis for Semantic Representation of Sentences

Saheed Abdullahi Salahudeen, Falalu Ibrahim Lawan, Yusuf Aliyu, Amina Abubakar, Lukman Aliyu

RDproj at SemEval-2024 Task 4: An Ensemble Learning Approach for Multilingual Detection of Persuasion Techniques in Memes

Yuhang Zhu

CLaC at SemEval-2024 Task 4: Decoding Persuasion in Memes – An Ensemble of Language Models with Paraphrase Augmentation

Kota Shamanth Ramanath Nayak, Leila Kosseim

iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing

Abbas Akkasi, Adnan Khan, Mai A. Shaaban, Majid Komeili, Mohammad Yaqub

NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection

Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha

Mistral at SemEval-2024 Task 5: Mistral 7B for argument reasoning in Civil Procedure

Marco Siino

NIMZ at SemEval-2024 Task 9: Evaluating Methods in Solving Brainteasers Defying Commonsense

Zahra Rahimi, Mohammad Moein Shirzady, Zeinab Taghavi, Hossein Sameti

HalluSafe at SemEval-2024 Task 6: An NLI-based Approach to Make LLMs Safer by Better Detecting Hallucinations and Overgeneration Mistakes

Zahra Rahimi, Hamidreza Amirzadeh, Alireza Sohrabi, Zeinab Taghavi, Hossein Sameti

nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual Memes

Abu Nowhash Chowdhury, Michal Ptaszynski

BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External Knowledge

Victoria Sherratt, Sedat Dogan, Ifeoluwa Wuraola, Lydia Bryan-Smith, Oyinkansola Onwuchekwa

RGAT at SemEval-2024 Task 2: Biomedical Natural Language Inference using Graph Attention Network

Abir Chakraborty

Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less

Mattia Opper, N. Siddharth

Genaios at SemEval-2024 Task 8: Detecting Machine-Generated Text by Mixing Language Model Probabilistic Features

Areg Mikael Sarvazyan, José Ángel González, Marc Franco-Salvador

SATLab at SemEval-2024 Task 1: A Fully Instance-Specific Approach for Semantic Textual Relatedness Prediction

Yves Bestgen

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness

Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang

BrainLlama at SemEval-2024 Task 6: Prompting Llama to detect hallucinations and related observable overgeneration mistakes

Marco Siino

NRK at SemEval-2024 Task 1: Semantic Textual Relatedness through Domain Adaptation and Ensemble Learning on BERT-based models

Nguyen Tuan Kiet, Dang Van Thin

Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language Inference

Jiaxu Dao, Zhuoying Li, Xiuzhong Tang, Xiaoli Lan, Junde Wang

Puer at SemEval-2024 Task 4: Fine-tuning Pre-trained Language Models for Meme Persuasion Technique Detection

Jiaxu Dao, Zhuoying Li, Youbang Su, Wensheng Gong

Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification

Areeg Fahad Rasheed, M. Zarkoosh

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

Marco Siino

CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data Alignment

Yuming Fan, Dongming Yang, Xu He

T5-Medical at SemEval-2024 Task 2: Using T5 Medical Embedding for Natural Language Inference on Clinical Trial Data

Marco Siino

hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English)

Hinoki Crum, Steven Bethard

StFX-NLP at SemEval-2024 Task 9: BRAINTEASER: Three Unsupervised Riddle-Solvers

Ethan Heavey, James Hughes, Milton King

nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States

Nicolay Rusnachenko, Huizhi Liang

L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text?

Hanh Thi Hong Tran, Tien Nam Nguyen, Antoine Doucet, Senja Pollak

OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine Translation

Hidetsune Takahashi, Xingru Lu, Sean Ishijima, Deokgyu Seo, Yongju Kim

CUNLP at SemEval-2024 Task 8: Classify Human and AI Generated Text

Pranjal Aggarwal, Deepanshu Sachdeva