SemEval 2024: all accepted papers
- SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection ↗Yuxia Wang, Jonibek Mansurov, Petar Ivanov et al.24 citations
- SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes ↗Dimitar Dimitrov, Firoj Alam, Maram Hasanain et al.19 citations
- SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations ↗Fanfan Wang, Heqing Ma, Rui Xia et al.15 citations
- Mistral at SemEval-2024 Task 5: Mistral 7B for argument reasoning in Civil Procedure ↗Marco Siino12 citations
- NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations ↗Meng Luo, Han Zhang, Shengqiong Wu et al.11 citations
- DeBERTa at SemEval-2024 Task 9: Using DeBERTa for Defying Common Sense ↗Marco Siino8 citations
- SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials ↗Mael Jullien, Marco Valentino, André Freitas8 citations
- Fine-tuning Language Models for AI vs Human Generated Text detection ↗Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy7 citations
- SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes ↗Timothee Mickus, Elaine Zosa, Raul Vazquez et al.7 citations
- KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection ↗Michal Spiegel, Dominik Macko6 citations
- 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 et al.6 citations
- Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text ↗Jainit Bafna, Hardik Mittal, Suyash Sethia et al.6 citations
- SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection ↗Bradley Allen, Fina Polat, Paul Groth6 citations
- SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning ↗Kristiyan Krumov, Svetla Boytcheva, Ivan Koytchev6 citations
- MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection ↗Federico Borra, Claudio Savelli, Giacomo Rosso et al.5 citations
- MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models ↗Zebang Cheng, Fuqiang Niu, Yuxiang Lin et al.5 citations
- OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data ↗Ze Chen, Chengcheng Wei, Songtan Fang et al.5 citations
- 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 et al.4 citations
- DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes ↗Erchen Yu, Junlong Wang, Xuening Qiao et al.4 citations
- DeepPavlov at SemEval-2024 Task 3: Multimodal Large Language Models in Emotion Reasoning ↗Julia Belikova, Dmitrii Kosenko4 citations
- 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 et al.4 citations
- SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF) ↗Shivani Kumar, Md. Shad Akhtar, Erik Cambria et al.4 citations
- USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings ↗Zikang Guo, Kaijie Jiao, Xingyu Yao et al.4 citations
- AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text ↗Renhua Gu, Xiangfeng Meng3 citations
- Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 ↗Aryo Gema, Giwon Hong, Pasquale Minervini et al.3 citations
- HIT-MI&T Lab at SemEval-2024 Task 6: DeBERTa-based Entailment Model is a Reliable Hallucination Detector ↗Wei Liu, Wanyao Shi, Zijian Zhang et al.3 citations
- IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings ↗Shubham Patel, Divyaksh Shukla, Ashutosh Modi3 citations
- LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection ↗Shiyi Li, Yike Wang, Liang Yang et al.3 citations
- NLP_Team1@SSN at SemEval-2024 Task 1: Impact of language models in Sentence-BERT for Semantic Textual Relatedness in Low-resource Languages ↗Senthil Kumar B, Aravindan Chandrabose, Gokulakrishnan B et al.3 citations
- SCaLAR NITK at SemEval-2024 Task 5: Towards Unsupervised Question Answering system with Multi-level Summarization for Legal Text ↗Manvith Prabhu, Haricharana Srinivasa, Anand Kumar3 citations
- SemanticCUETSync at SemEval-2024 Task 1: Finetuning Sentence Transformer to Find Semantic Textual Relatedness ↗Md. Sajjad Hossain, Ashraful Islam Paran, Symom Hossain Shohan et al.3 citations
- SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection ↗Elisei Rykov, Yana Shishkina, Kseniia Petrushina et al.3 citations
- Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes ↗Luca Zedda, Alessandra Perniciano, Andrea Loddo et al.3 citations
- TECHSSN1 at SemEval-2024 Task 10: Emotion Classification in Hindi-English Code-Mixed Dialogue using Transformer-based Models ↗Venkatasai Ojus Yenumulapalli, Pooja Premnath, Parthiban Mohankumar et al.3 citations
- UCSC NLP at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF) ↗Neng Wan, Steven Au, Esha Ubale et al.3 citations
- UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text Detection ↗Ronghao Pan, José Antonio García-díaz, Pedro José Vivancos-vicente et al.3 citations
- 0x.Yuan at SemEval-2024 Task 5: Enhancing Legal Argument Reasoning with Structured Prompts ↗Yu-an Lu, Hung-yu Kao2 citations
- AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations ↗Mohammad Mahdi Abootorabi, Nona Ghazizadeh, Seyed Arshan Dalili et al.2 citations
- Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure ↗Odysseas S. Chlapanis, Ion Androutsopoulos, Dimitrios Galanis2 citations
- CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data Alignment ↗Yuming Fan, Dongming Yang, Xu He2 citations
- Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models ↗Vishruth Veerendranath, Vishwa Shah, Kshitish Ghate2 citations
- ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation ↗Monika Singh, Sujit Kumar, Tanveen et al.2 citations
- DeepPavlov at SemEval-2024 Task 6: Detection of Hallucinations and Overgeneration Mistakes with an Ensemble of Transformer-based Models ↗Ivan Maksimov, Vasily Konovalov, Andrei Glinskii2 citations
- DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated Texts ↗Anastasia Voznyuk, Vasily Konovalov2 citations
- EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques ↗Youri Peskine, Raphael Troncy, Paolo Papotti2 citations
- FI Group at SemEval-2024 Task 8: A Syntactically Motivated Architecture for Multilingual Machine-Generated Text Detection ↗Maha Ben-fares, Urchade Zaratiana, Simon Hernandez et al.2 citations
- FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations ↗Zuhair Hasan Shaik, Dhivya Prasanna, Enduri Jahnavi et al.2 citations
- FtG-CoT at SemEval-2024 Task 9: Solving Sentence Puzzles Using Fine-Tuned Language Models and Zero-Shot CoT Prompting ↗Micah Zhang, Shafiuddin Rehan Ahmed, James H. Martin2 citations
- Genaios at SemEval-2024 Task 8: Detecting Machine-Generated Text by Mixing Language Model Probabilistic Features ↗Areg Mikael Sarvazyan, José Ángel González, Marc Franco-salvador2 citations
- HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text? ↗Shubhashis Roy Dipta, Sadat Shahriar2 citations
- HausaNLP at SemEval-2024 Task 1: Textual Relatedness Analysis for Semantic Representation of Sentences ↗Saheed Abdullahi Salahudeen, Falalu Ibrahim Lawan, Yusuf Aliyu et al.2 citations
- IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials ↗Shreyasi Mandal, Ashutosh Modi2 citations
- ISDS-NLP at SemEval-2024 Task 10: Transformer based neural networks for emotion recognition in conversations ↗Claudiu Creangă, Liviu P. Dinu2 citations
- Infrrd.ai at SemEval-2024 Task 7: RAG-based end-to-end training to generate headlines and numbers ↗Jianglong He, Saiteja Tallam, Srirama Nakshathri et al.2 citations
- Lisbon Computational Linguists at SemEval-2024 Task 2: Using a Mistral-7B Model and Data Augmentation ↗Artur Guimarães, Bruno Martins, João Magalhães2 citations
- MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity ↗Reza Sanayei, Abhyuday Singh, Mohammadhossein Rezaei et al.2 citations
- MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thought Prompts ↗Nishat Raihan, Dhiman Goswami, Al Nahian Bin Emran et al.2 citations
- PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations ↗Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar2 citations
- PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? ↗Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar2 citations
- 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 et al.2 citations
- SCaLAR at SemEval-2024 Task 8: Unmasking the machine : Exploring the power of RoBERTa Ensemble for Detecting Machine Generated Text ↗Anand Kumar M, Abhin B, Sidhaarth Sredharan Murali2 citations
- Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated Text ↗Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani et al.2 citations
- SuteAlbastre at SemEval-2024 Task 4: Predicting Propaganda Techniques in Multilingual Memes using Joint Text and Vision Transformers ↗Ion Anghelina, Gabriel Buță, Alexandru Enache2 citations
- TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations ↗Ravindran V, Shreejith Babu G, Aashika Jetti et al.2 citations
- TW-NLP at SemEval-2024 Task10: Emotion Recognition and Emotion Reversal Inference in Multi-Party Dialogues. ↗Wei Tian, Peiyu Ji, Lei Zhang et al.2 citations
- Team Innovative at SemEval-2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection ↗Surbhi Sharma, Irfan Mansuri2 citations
- Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text ↗Huixin Chen, Jan Büssing, David Rügamer et al.2 citations
- 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 et al.2 citations
- 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. Dinu2 citations
- TüDuo at SemEval-2024 Task 2: Flan-T5 and Data Augmentation for Biomedical NLI ↗Veronika Smilga, Hazem Alabiad2 citations
- VerbaNexAI Lab at SemEval-2024 Task 10: Emotion recognition and reasoning in mixed-coded conversations based on an NRC VAD approach ↗Santiago Garcia, Elizabeth Martinez, Juan Cuadrado et al.2 citations
- Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning ↗Youlin Wu, Kaichun Wang, Kai Ma et al.2 citations
- YNU-HPCC at SemEval-2024 Task 2: Applying DeBERTa-v3-large to Safe Biomedical Natural Language Inference for Clinical Trials ↗Rengui Zhang, Jin Wang, Xuejie Zhang2 citations
- 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 Liang2 citations
- AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis ↗Natalia Grigoriadou, Maria Lymperaiou, George Filandrianos et al.1 citation
- AlphaIntellect at SemEval-2024 Task 6: Detection of Hallucinations in Generated Text ↗Sohan Choudhury, Priyam Saha, Subharthi Ray et al.1 citation
- AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying Reasoning ↗Soumya Mishra, Mina Ghashami1 citation
- BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes ↗Amirhossein Abaskohi, Amirhossein Dabiriaghdam, Lele Wang et al.1 citation
- BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in Conversation ↗Dilip Venkatesh, Pasunti Prasanjith, Yashvardhan Sharma1 citation
- BITS Pilani at SemEval-2024 Task 1: Using text-embedding-3-large and LaBSE embeddings for Semantic Textual Relatedness ↗Dilip Venkatesh, Sundaresan Raman1 citation
- BITS Pilani at SemEval-2024 Task 9: Prompt Engineering with GPT-4 for Solving Brainteasers ↗Dilip Venkatesh, Yashvardhan Sharma1 citation
- Bridging Numerical Reasoning and Headline Generation for Enhanced Language Models ↗Vaishnavi R, Srimathi T, Aarthi S et al.1 citation
- CAILMD-23 at SemEval-2024 Task 1: Multilingual Evaluation of Semantic Textual Relatedness ↗Srushti Sonavane, Sharvi Endait, Ridhima Sinare et al.1 citation
- CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in Hinglish ↗Ankit Vaidya, Aditya Gokhale, Arnav Desai et al.1 citation
- CLaC at SemEval-2024 Task 2: Faithful Clinical Trial Inference ↗Jennifer Marks, Mohammadreza Davari, Leila Kosseim1 citation
- CRCL at SemEval-2024 Task 2: Simple prompt optimizations ↗Clement Brutti-mairesse, Loic Verlingue1 citation
- CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data Explanation ↗Reem Abdel-salam, Mary Adewunmi, Mercy Akinwale1 citation
- CoT-based Data Augmentation Strategy for Persuasion Techniques Detection ↗Dailin Li, Chuhan Wang, Xin Zou et al.1 citation
- Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination ↗Souvik Das, Rohini Srihari1 citation
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