SemEval 2024: all accepted papers
- DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection ↗Theodora Kyriakou, Ioannis Maslaris, Avi Arampatzis1 citation
- DUTh at SemEval-2024 Task 6: Comparing Pre-trained Models on Sentence Similarity Evaluation for Detecting of Hallucinations and Related Observable Overgeneration Mistakes ↗Ioanna Iordanidou, Ioannis Maslaris, Avi Arampatzis1 citation
- FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain ↗Jin Liu, Steffen Thoma1 citation
- GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs ↗Vy Nguyen, Xiuzhen Zhang1 citation
- HIJLI_JU at SemEval-2024 Task 7: Enhancing Quantitative Question Answering Using Fine-tuned BERT Models ↗Partha Sengupta, Sandip Sarkar, Dipankar Das1 citation
- HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task ↗Xiaofeng Zhao, Xiaosong Qiao, Kaiwen Ou et al.1 citation
- HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination Recognition ↗Timothy Obiso, Jingxuan Tu, James Pustejovsky1 citation
- IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes ↗Shreenaga Chikoti, Shrey Mehta, Ashutosh Modi1 citation
- Innovators at SemEval-2024 Task 10: Revolutionizing Emotion Recognition and Flip Analysis in Code-Mixed Texts ↗Abhay Shanbhag, Suramya Jadhav, Shashank Rathi et al.1 citation
- 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 et al.1 citation
- LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI ↗Zihang Sun, Danqi Yan, Anyi Wang et al.1 citation
- LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task ↗Suyash Vardhan Mathur, Akshett Jindal, Hardik Mittal et al.1 citation
- LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation ↗Mihaela Alexandru, Călina Ciocoiu, Ioana Măniga et al.1 citation
- MBZUAI-UNAM at SemEval-2024 Task 1: Sentence-CROBI, a Simple Cross-Bi-Encoder-Based Neural Network Architecture for Semantic Textual Relatedness ↗Jesus German Ortiz Barajas, Gemma Bel-enguix, Helena Goméz-adorno1 citation
- 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. Zarkoosh1 citation
- Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization ↗Alvin Po-Chun Chen, Ray Groshan, Sean von Bayern1 citation
- 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 et al.1 citation
- 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 et al.1 citation
- NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA ↗Anish Pahilajani, Samyak Jain, Devasha Trivedi1 citation
- 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 Lin1 citation
- NumDecoders at SemEval-2024 Task 7: FlanT5 and GPT enhanced with CoT for Numerical Reasoning ↗Andres Gonzalez, Md Zobaer Hossain, Jahedul Alam Junaed1 citation
- Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language Inference ↗Jiaxu Dao, Zhuoying Li, Xiuzhong Tang et al.1 citation
- 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 et al.1 citation
- RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts ↗Ram Mohan Rao Kadiyala1 citation
- SLPL SHROOM at SemEval2024 Task 06 : A comprehensive study on models ability to detect hallucination ↗Pouya Fallah, Soroush Gooran, Mohammad Jafarinasab et al.1 citation
- SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF ↗Rohith Arumugam S, Angel Deborah S, Rajalakshmi S et al.1 citation
- SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations ↗Antony Rajesh A, Supriya Abirami A, Chandrabose Aravindan et al.1 citation
- Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations ↗Shen Zhang, Haojie Zhang, Jing Zhang et al.1 citation
- SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages ↗Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla et al.1 citation
- SemEval-2024 Task 5: Argument Reasoning in Civil Procedure ↗Lena Held, Ivan Habernal1 citation
- TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis ↗Spandan Das, Vinay Samuel, Shahriar Noroozizadeh1 citation
- TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection ↗Varvara Arzt, Mohammad Mahdi Azarbeik, Ilya Lasy et al.1 citation
- Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text ↗Kevin Li, Kenan Hasanaliyev, Sally Zhu et al.1 citation
- Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4 ↗Dan Schumacher, Anthony Rios1 citation
- TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques ↗Ashok Urlana, Aditya Saibewar, Bala Mallikarjunarao Garlapati et al.1 citation
- UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using Transformers ↗Ronghao Pan, José Antonio García-díaz, Diego Roldán et al.1 citation
- UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes ↗Ronghao Pan, José Antonio García-díaz, Tomás Bernal-beltrán et al.1 citation
- USMBA-NLP at SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials using Bert ↗Anass Fahfouh, Abdessamad Benlahbib, Jamal Riffi et al.1 citation
- WarwickNLP at SemEval-2024 Task 1: Low-Rank Cross-Encoders for Efficient Semantic Textual RelatednessFahad Ebrahim, Mike Joy1 citation · our summary
- Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection ↗Ayan Datta, Aryan Chandramania, Radhika Mamidi1 citation
- scaLAR SemEval-2024 Task 1: Semantic Textual Relatednes for EnglishAnand Kumar, Hemanth Kumar1 citation · our summary
- whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts ↗Nishan Chatterjee, Marko Pranjic, Boshko Koloski et al.1 citation
- yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking Challenges ↗Qi Yang, Jingjie Zeng, Liang Yang et al.1 citation
- AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness ↗Miaoran Zhang, Mingyang Wang, Jesujoba Alabi et al.
- AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles ↗Ioannis Panagiotopoulos, George Filandrianos, Maria Lymperaiou et al.
- AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis ↗Alireza Ghahramani Kure, Mahshid Dehghani, Mohammad Mahdi Abootorabi et al.
- AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4 ↗Alexander Shirnin, Nikita Andreev, Vladislav Mikhailov et al.
- ALF at SemEval-2024 Task 9: Exploring Lateral Thinking Capabilities of LMs through Multi-task Fine-tuning ↗Seyed Ali Farokh, Hossein Zeinali
- Abdelhak at SemEval-2024 Task 9: Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPT ↗Abdelhak Kelious, Mounir Okirim
- BAMBAS at SemEval-2024 Task 4: How far can we get without looking at hierarchies? ↗Arthur Vasconcelos, Luiz Felipe De Melo, Eduardo Goncalves et al.
- BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense ↗Baktash Ansari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi
- 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 et al.
- Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding ↗Xinyue Liang, Jiawei Li, Yizhe Yang et al.
- CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification ↗Mohammadhossein Rezaei, Yeaeun Kwon, Reza Sanayei et al.
- CLaC at SemEval-2024 Task 4: Decoding Persuasion in Memes – An Ensemble of Language Models with Paraphrase Augmentation ↗Kota Shamanth Ramanath Nayak, Leila Kosseim
- CUNLP at SemEval-2024 Task 8: Classify Human and AI Generated Text ↗Pranjal Aggarwal, Deepanshu Sachdeva
- CVcoders on Semeval-2024 Task 4 ↗Fatemezahra Bakhshande, Mahdieh Naderi
- Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language Generation ↗Ali Zhunis, Hao-yun Chuang
- DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training ↗Bhuvanesh Verma, Lisa Raithel
- DUTh at SemEval 2024 Task 5: A multi-task learning approach for the Legal Argument Reasoning Task in Civil Procedure ↗Ioannis Maslaris, Avi Arampatzis
- DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning ↗Suyash Vardhan Mathur, Akshett Jindal, Manish Shrivastava
- Deja Vu at SemEval 2024 Task 9: A Comparative Study of Advanced Language Models for Commonsense Reasoning ↗Trina Chakraborty, Marufur Rahman, Omar Riyad
- Fired_from_NLP at SemEval-2024 Task 1: Towards Developing Semantic Textual Relatedness Predictor - A Transformer-based Approach ↗Anik Mahmud Shanto, Md. Sajid Alam Chowdhury, Mostak Mahmud Chowdhury et al.
- GIL-IIMAS UNAM at SemEval-2024 Task 1: SAND: An In Depth Analysis of Semantic Relatedness Using Regression and Similarity Characteristics ↗F. López-Ponce, Ángel Cadena, K. Salas-Jimenez et al.
- GeminiPro at SemEval-2024 Task 9: BrainTeaser on Gemini ↗Kyu Hyun Choi, Seung-hoon Na
- Groningen Group E at SemEval-2024 Task 8: Detecting machine-generated texts through pre-trained language models augmented with explicit linguistic-stylistic features ↗Patrick Darwinkel, Sijbren Van Vaals, Marieke Van Der Holt et al.
- Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features ↗Huseyin Alecakir, Puja Chakraborty, Pontus Henningsson et al.
- Groningen Team F at SemEval-2024 Task 8: Detecting Machine-Generated Text using Feature-Based Machine Learning Models ↗Rina Donker, Björn Overbeek, Dennis Thulden et al.
- 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 et al.
- HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR) ↗Mengyao Piao, Su Chang, Yuang Li et al.
- HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs ↗Yinglu Li, Zhao Yanqing, Min Zhang et al.
- 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 et al.
- HierarchyEverywhere at SemEval-2024 Task 4: Detection of Persuasion Techniques in Memes Using Hierarchical Text Classifier ↗Omid Ghahroodi, Ehsaneddin Asgari
- I2C-Huelva at SemEval-2024 Task 8: Boosting AI-Generated Text Detection with Multimodal Models and Optimized Ensembles ↗Alberto Rodero Peña, Jacinto Mata Vazquez, Victoria Pachón Álvarez
- IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations ↗Mehrzad Tareh, Aydin Mohandesi, Ebrahim Ansari
- IIMAS at SemEval-2024 Task 9: A Comparative Approach for Brainteaser Solutions ↗Cecilia Reyes, Orlando Ramos-flores, Diego Martínez-maqueda
- IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts ↗Udvas Basak, Rajarshi Dutta, Shivam Pandey et al.
- INGEOTEC at SemEval-2024 Task 10: Bag of Words Classifiers ↗Daniela Moctezuma, Eric Tellez, Jose Ortiz Bejar et al.
- INGEOTEC at SemEval-2024 Task 1: Bag of Words and Transformers ↗Daniela Moctezuma, Eric Tellez, Mario Graff
- IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations? ↗Nihed Bendahman, Karen Pinel-sauvagnat, Gilles Hubert et al.
- IUST-NLPLAB at SemEval-2024 Task 9: BRAINTEASER By MPNet (Sentence Puzzle) ↗Mohammad Hossein Abbaspour, Erfan Moosavi Monazzah, Sauleh Eetemadi
- IUSTNLPLAB at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes ↗Mohammad Osoolian, Erfan Moosavi Monazzah, Sauleh Eetemadi
- JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation ↗Xinyi Liu, Xintong Liu, Hengyang Lu
- 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
- KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning ↗Weiqi Wang, Baixuan Xu, Haochen Shi et al.
- LomonosovMSU at SemEval-2024 Task 4: Comparing LLMs and embedder models to identifying propaganda techniques in the content of memes in English for subtasks No1, No2a, and No2bGleb Skiba, Mikhail Pukemo, Dmitry Melikhov et al.our summary
- MAINDZ at SemEval-2024 Task 5: CLUEDO - Choosing Legal oUtcome by Explaining Decision through Oversight ↗Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani et al.
- MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent Model ↗Mahmood Kalantari, Mehdi Feghhi, Taha Khany Alamooti
- Magnum JUCSE at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes ↗Adnan Khurshid, Dipankar Das
- Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination Detection ↗Patanjali Bhamidipati, Advaith Malladi, Manish Shrivastava et al.
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