---
title: "SemEval 2024 — all accepted papers, page 2 — Elamur Research"
description: "All 279 papers of SemEval 2024 · page 2 of 3, the most cited first; those with our summary link to it."
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---
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# SemEval 2024: all accepted papers

279 papers · page 2 of 3 · the most cited first · [← SemEval 2024](https://md.research.elamur.ai/free/en/venues/semeval/2024/)

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101. **[DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection ↗](https://aclanthology.org/2024.semeval-1.156/)**Theodora Kyriakou, Ioannis Maslaris, Avi Arampatzis*1 citation*
102. **[DUTh at SemEval-2024 Task 6: Comparing Pre-trained Models on Sentence Similarity Evaluation for Detecting of Hallucinations and Related Observable Overgeneration Mistakes ↗](https://aclanthology.org/2024.semeval-1.154/)**Ioanna Iordanidou, Ioannis Maslaris, Avi Arampatzis*1 citation*
103. **[FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain ↗](https://aclanthology.org/2024.semeval-1.184/)**Jin Liu, Steffen Thoma*1 citation*
104. **[GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs ↗](https://aclanthology.org/2024.semeval-1.50/)**Vy Nguyen, Xiuzhen Zhang*1 citation*
105. **[HIJLI_JU at SemEval-2024 Task 7: Enhancing Quantitative Question Answering Using Fine-tuned BERT Models ↗](https://aclanthology.org/2024.semeval-1.43/)**Partha Sengupta, Sandip Sarkar, Dipankar Das*1 citation*
106. **[HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task ↗](https://aclanthology.org/2024.semeval-1.255/)**Xiaofeng Zhao, Xiaosong Qiao, Kaiwen Ou et al.*1 citation*
107. **[HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination Recognition ↗](https://aclanthology.org/2024.semeval-1.191/)**Timothy Obiso, Jingxuan Tu, James Pustejovsky*1 citation*
108. **[IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes ↗](https://aclanthology.org/2024.semeval-1.252/)**Shreenaga Chikoti, Shrey Mehta, Ashutosh Modi*1 citation*
109. **[Innovators at SemEval-2024 Task 10: Revolutionizing Emotion Recognition and Flip Analysis in Code-Mixed Texts ↗](https://aclanthology.org/2024.semeval-1.93/)**Abhay Shanbhag, Suramya Jadhav, Shashank Rathi et al.*1 citation*
110. **[JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models ↗](https://aclanthology.org/2024.semeval-1.223/)**Arefa, Mohammed Abbas Ansari, Chandni Saxena et al.*1 citation*
111. **[LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI ↗](https://aclanthology.org/2024.semeval-1.224/)**Zihang Sun, Danqi Yan, Anyi Wang et al.*1 citation*
112. **[LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task ↗](https://aclanthology.org/2024.semeval-1.175/)**Suyash Vardhan Mathur, Akshett Jindal, Hardik Mittal et al.*1 citation*
113. **[LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation ↗](https://aclanthology.org/2024.semeval-1.64/)**Mihaela Alexandru, Călina Ciocoiu, Ioana Măniga et al.*1 citation*
114. **[MBZUAI-UNAM at SemEval-2024 Task 1: Sentence-CROBI, a Simple Cross-Bi-Encoder-Based Neural Network Architecture for Semantic Textual Relatedness ↗](https://aclanthology.org/2024.semeval-1.155/)**Jesus German Ortiz Barajas, Gemma Bel-enguix, Helena Goméz-adorno*1 citation*
115. **[Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification ↗](https://aclanthology.org/2024.semeval-1.10/)**Areeg Fahad Rasheed, M. Zarkoosh*1 citation*
116. **[Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization ↗](https://aclanthology.org/2024.semeval-1.263/)**Alvin Po-Chun Chen, Ray Groshan, Sean von Bayern*1 citation*
117. **[NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection ↗](https://aclanthology.org/2024.semeval-1.25/)**Feng Xiong, Thanet Markchom, Ziwei Zheng et al.*1 citation*
118. **[NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation ↗](https://aclanthology.org/2024.semeval-1.40/)**Junzhe Zhao, Yingxi Wang, Huizhi Liang et al.*1 citation*
119. **[NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA ↗](https://aclanthology.org/2024.semeval-1.189/)**Anish Pahilajani, Samyak Jain, Devasha Trivedi*1 citation*
120. **[NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical Trials ↗](https://aclanthology.org/2024.semeval-1.209/)**Lung-hao Lee, Chen-ya Chiou, Tzu-mi Lin*1 citation*
121. **[NumDecoders at SemEval-2024 Task 7: FlanT5 and GPT enhanced with CoT for Numerical Reasoning ↗](https://aclanthology.org/2024.semeval-1.183/)**Andres Gonzalez, Md Zobaer Hossain, Jahedul Alam Junaed*1 citation*
122. **[Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language Inference ↗](https://aclanthology.org/2024.semeval-1.12/)**Jiaxu Dao, Zhuoying Li, Xiuzhong Tang et al.*1 citation*
123. **[QFNU_CS at SemEval-2024 Task 3: A Hybrid Pre-trained Model based Approach for Multimodal Emotion-Cause Pair Extraction Task ↗](https://aclanthology.org/2024.semeval-1.53/)**Zining Wang, Yanchao Zhao, Guanghui Han et al.*1 citation*
124. **[RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts ↗](https://aclanthology.org/2024.semeval-1.78/)**Ram Mohan Rao Kadiyala*1 citation*
125. **[SLPL SHROOM at SemEval2024 Task 06 : A comprehensive study on models ability to detect hallucination ↗](https://aclanthology.org/2024.semeval-1.167/)**Pouya Fallah, Soroush Gooran, Mohammad Jafarinasab et al.*1 citation*
126. **[SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF ↗](https://aclanthology.org/2024.semeval-1.105/)**Rohith Arumugam S, Angel Deborah S, Rajalakshmi S et al.*1 citation*
127. **[SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations ↗](https://aclanthology.org/2024.semeval-1.83/)**Antony Rajesh A, Supriya Abirami A, Chandrabose Aravindan et al.*1 citation*
128. **[Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations ↗](https://aclanthology.org/2024.semeval-1.81/)**Shen Zhang, Haojie Zhang, Jing Zhang et al.*1 citation*
129. **[SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages ↗](https://aclanthology.org/2024.semeval-1.272/)**Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla et al.*1 citation*
130. **[SemEval-2024 Task 5: Argument Reasoning in Civil Procedure ↗](https://aclanthology.org/2024.semeval-1.276/)**Lena Held, Ivan Habernal*1 citation*
131. **[TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis ↗](https://aclanthology.org/2024.semeval-1.79/)**Spandan Das, Vinay Samuel, Shahriar Noroozizadeh*1 citation*
132. **[TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection ↗](https://aclanthology.org/2024.semeval-1.173/)**Varvara Arzt, Mohammad Mahdi Azarbeik, Ilya Lasy et al.*1 citation*
133. **[Team AT at SemEval-2024 Task 8: Machine-Generated Text Detection with Semantic Embeddings ↗](https://aclanthology.org/2024.semeval-1.75/)**Yuchen Wei*1 citation*
134. **[Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text ↗](https://aclanthology.org/2024.semeval-1.210/)**Kevin Li, Kenan Hasanaliyev, Sally Zhu et al.*1 citation*
135. **[Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4 ↗](https://aclanthology.org/2024.semeval-1.187/)**Dan Schumacher, Anthony Rios*1 citation*
136. **[TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques ↗](https://aclanthology.org/2024.semeval-1.134/)**Ashok Urlana, Aditya Saibewar, Bala Mallikarjunarao Garlapati et al.*1 citation*
137. **[UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using Transformers ↗](https://aclanthology.org/2024.semeval-1.101/)**Ronghao Pan, José Antonio García-díaz, Diego Roldán et al.*1 citation*
138. **[UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes ↗](https://aclanthology.org/2024.semeval-1.98/)**Ronghao Pan, José Antonio García-díaz, Tomás Bernal-beltrán et al.*1 citation*
139. **[USMBA-NLP at SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials using Bert ↗](https://aclanthology.org/2024.semeval-1.66/)**Anass Fahfouh, Abdessamad Benlahbib, Jamal Riffi et al.*1 citation*
140. **[WarwickNLP at SemEval-2024 Task 1: Low-Rank Cross-Encoders for Efficient Semantic Textual Relatedness](https://md.research.elamur.ai/free/en/papers/ebrahim-2024-warwicknlp-semeval-2024-task-1/)**Fahad Ebrahim, Mike Joy*1 citation · our summary*
141. **[Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection ↗](https://aclanthology.org/2024.semeval-1.230/)**Ayan Datta, Aryan Chandramania, Radhika Mamidi*1 citation*
142. **[scaLAR SemEval-2024 Task 1: Semantic Textual Relatednes for English](https://md.research.elamur.ai/free/en/papers/kumar-2024-scalar-semeval-2024-task-1/)**Anand Kumar, Hemanth Kumar*1 citation · our summary*
143. **[whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts ↗](https://aclanthology.org/2024.semeval-1.220/)**Nishan Chatterjee, Marko Pranjic, Boshko Koloski et al.*1 citation*
144. **[yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking Challenges ↗](https://aclanthology.org/2024.semeval-1.36/)**Qi Yang, Jingjie Zeng, Liang Yang et al.*1 citation*
145. **[0x.Yuan at SemEval-2024 Task 2: Agents Debating can reach consensus and produce better outcomes in Medical NLI task ↗](https://aclanthology.org/2024.semeval-1.47/)**Yu-an Lu, Hung-yu Kao
146. **[AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness ↗](https://aclanthology.org/2024.semeval-1.114/)**Miaoran Zhang, Mingyang Wang, Jesujoba Alabi et al.
147. **[AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles ↗](https://aclanthology.org/2024.semeval-1.248/)**Ioannis Panagiotopoulos, George Filandrianos, Maria Lymperaiou et al.
148. **[AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis ↗](https://aclanthology.org/2024.semeval-1.243/)**Alireza Ghahramani Kure, Mahshid Dehghani, Mohammad Mahdi Abootorabi et al.
149. **[AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4 ↗](https://aclanthology.org/2024.semeval-1.238/)**Alexander Shirnin, Nikita Andreev, Vladislav Mikhailov et al.
150. **[ALF at SemEval-2024 Task 9: Exploring Lateral Thinking Capabilities of LMs through Multi-task Fine-tuning ↗](https://aclanthology.org/2024.semeval-1.218/)**Seyed Ali Farokh, Hossein Zeinali
151. **[Abdelhak at SemEval-2024 Task 9: Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPT ↗](https://aclanthology.org/2024.semeval-1.31/)**Abdelhak Kelious, Mounir Okirim
152. **[BAMBAS at SemEval-2024 Task 4: How far can we get without looking at hierarchies? ↗](https://aclanthology.org/2024.semeval-1.70/)**Arthur Vasconcelos, Luiz Felipe De Melo, Eduardo Goncalves et al.
153. **[BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense ↗](https://aclanthology.org/2024.semeval-1.35/)**Baktash Ansari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi
154. **[BD-NLP at SemEval-2024 Task 2: Investigating Generative and Discriminative Models for Clinical Inference with Knowledge Augmentation ↗](https://aclanthology.org/2024.semeval-1.188/)**Shantanu Nath, Ahnaf Mozib Samin
155. **[BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External Knowledge ↗](https://aclanthology.org/2024.semeval-1.20/)**Victoria Sherratt, Sedat Dogan, Ifeoluwa Wuraola et al.
156. **[BERTastic at SemEval-2024 Task 4: State-of-the-Art Multilingual Propaganda Detection in Memes via Zero-Shot Learning with Vision-Language Models ↗](https://aclanthology.org/2024.semeval-1.77/)**Tarek Mahmoud, Preslav Nakov
157. **[Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding ↗](https://aclanthology.org/2024.semeval-1.258/)**Xinyue Liang, Jiawei Li, Yizhe Yang et al.
158. **[Byun at SemEval-2024 Task 6: Text Classification on Hallucinating Text with Simple Data Augmentation ↗](https://aclanthology.org/2024.semeval-1.41/)**Cheolyeon Byun
159. **[CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification ↗](https://aclanthology.org/2024.semeval-1.215/)**Mohammadhossein Rezaei, Yeaeun Kwon, Reza Sanayei et al.
160. **[CLaC at SemEval-2024 Task 4: Decoding Persuasion in Memes – An Ensemble of Language Models with Paraphrase Augmentation ↗](https://aclanthology.org/2024.semeval-1.27/)**Kota Shamanth Ramanath Nayak, Leila Kosseim
161. **[CUNLP at SemEval-2024 Task 8: Classify Human and AI Generated Text ↗](https://aclanthology.org/2024.semeval-1.1/)**Pranjal Aggarwal, Deepanshu Sachdeva
162. **[CVcoders on Semeval-2024 Task 4 ↗](https://aclanthology.org/2024.semeval-1.267/)**Fatemezahra Bakhshande, Mahdieh Naderi
163. **[CYUT at SemEval-2024 Task 7: A Numerals Augmentation and Feature Enhancement Approach to Numeral Reading Comprehension ↗](https://aclanthology.org/2024.semeval-1.87/)**Tsz-yeung Lau, Shih-hung Wu
164. **[Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language Generation ↗](https://aclanthology.org/2024.semeval-1.236/)**Ali Zhunis, Hao-yun Chuang
165. **[DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training ↗](https://aclanthology.org/2024.semeval-1.99/)**Bhuvanesh Verma, Lisa Raithel
166. **[DUTh at SemEval 2024 Task 5: A multi-task learning approach for the Legal Argument Reasoning Task in Civil Procedure ↗](https://aclanthology.org/2024.semeval-1.152/)**Ioannis Maslaris, Avi Arampatzis
167. **[DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning ↗](https://aclanthology.org/2024.semeval-1.176/)**Suyash Vardhan Mathur, Akshett Jindal, Manish Shrivastava
168. **[Deja Vu at SemEval 2024 Task 9: A Comparative Study of Advanced Language Models for Commonsense Reasoning ↗](https://aclanthology.org/2024.semeval-1.180/)**Trina Chakraborty, Marufur Rahman, Omar Riyad
169. **[Fired_from_NLP at SemEval-2024 Task 1: Towards Developing Semantic Textual Relatedness Predictor - A Transformer-based Approach ↗](https://aclanthology.org/2024.semeval-1.123/)**Anik Mahmud Shanto, Md. Sajid Alam Chowdhury, Mostak Mahmud Chowdhury et al.
170. **[Fralak at SemEval-2024 Task 4: combining RNN-generated hierarchy paths with simple neural nets for hierarchical multilabel text classification in a multilingual zero-shot setting ↗](https://aclanthology.org/2024.semeval-1.89/)**Katarina Laken
171. **[GIL-IIMAS UNAM at SemEval-2024 Task 1: SAND: An In Depth Analysis of Semantic Relatedness Using Regression and Similarity Characteristics ↗](https://aclanthology.org/2024.semeval-1.186/)**F. López-Ponce, Ángel Cadena, K. Salas-Jimenez et al.
172. **[GeminiPro at SemEval-2024 Task 9: BrainTeaser on Gemini ↗](https://aclanthology.org/2024.semeval-1.228/)**Kyu Hyun Choi, Seung-hoon Na
173. **[GreyBox at SemEval-2024 Task 4: Progressive Fine-tuning (for Multilingual Detection of Propaganda Techniques) ↗](https://aclanthology.org/2024.semeval-1.127/)**Nathan Roll, Calbert Graham
174. **[Groningen Group E at SemEval-2024 Task 8: Detecting machine-generated texts through pre-trained language models augmented with explicit linguistic-stylistic features ↗](https://aclanthology.org/2024.semeval-1.145/)**Patrick Darwinkel, Sijbren Van Vaals, Marieke Van Der Holt et al.
175. **[Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features ↗](https://aclanthology.org/2024.semeval-1.269/)**Huseyin Alecakir, Puja Chakraborty, Pontus Henningsson et al.
176. **[Groningen Team F at SemEval-2024 Task 8: Detecting Machine-Generated Text using Feature-Based Machine Learning Models ↗](https://aclanthology.org/2024.semeval-1.268/)**Rina Donker, Björn Overbeek, Dennis Thulden et al.
177. **[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 ↗](https://aclanthology.org/2024.semeval-1.61/)**Thijs Brekhof, Xuanyi Liu, Joris Ruitenbeek et al.
178. **[HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR) ↗](https://aclanthology.org/2024.semeval-1.232/)**Mengyao Piao, Su Chang, Yuang Li et al.
179. **[HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs ↗](https://aclanthology.org/2024.semeval-1.234/)**Yinglu Li, Zhao Yanqing, Min Zhang et al.
180. **[HalluSafe at SemEval-2024 Task 6: An NLI-based Approach to Make LLMs Safer by Better Detecting Hallucinations and Overgeneration Mistakes ↗](https://aclanthology.org/2024.semeval-1.22/)**Zahra Rahimi, Hamidreza Amirzadeh, Alireza Sohrabi et al.
181. **[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 ↗](https://aclanthology.org/2024.semeval-1.55/)**Hidetsune Takahashi
182. **[HierarchyEverywhere at SemEval-2024 Task 4: Detection of Persuasion Techniques in Memes Using Hierarchical Text Classifier ↗](https://aclanthology.org/2024.semeval-1.247/)**Omid Ghahroodi, Ehsaneddin Asgari
183. **[I2C-Huelva at SemEval-2024 Task 8: Boosting AI-Generated Text Detection with Multimodal Models and Optimized Ensembles ↗](https://aclanthology.org/2024.semeval-1.121/)**Alberto Rodero Peña, Jacinto Mata Vazquez, Victoria Pachón Álvarez
184. **[IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations ↗](https://aclanthology.org/2024.semeval-1.179/)**Mehrzad Tareh, Aydin Mohandesi, Ebrahim Ansari
185. **[IIMAS at SemEval-2024 Task 9: A Comparative Approach for Brainteaser Solutions ↗](https://aclanthology.org/2024.semeval-1.163/)**Cecilia Reyes, Orlando Ramos-flores, Diego Martínez-maqueda
186. **[IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts ↗](https://aclanthology.org/2024.semeval-1.207/)**Udvas Basak, Rajarshi Dutta, Shivam Pandey et al.
187. **[INGEOTEC at SemEval-2024 Task 10: Bag of Words Classifiers ↗](https://aclanthology.org/2024.semeval-1.162/)**Daniela Moctezuma, Eric Tellez, Jose Ortiz Bejar et al.
188. **[INGEOTEC at SemEval-2024 Task 1: Bag of Words and Transformers ↗](https://aclanthology.org/2024.semeval-1.168/)**Daniela Moctezuma, Eric Tellez, Mario Graff
189. **[IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations? ↗](https://aclanthology.org/2024.semeval-1.86/)**Nihed Bendahman, Karen Pinel-sauvagnat, Gilles Hubert et al.
190. **[IUST-NLPLAB at SemEval-2024 Task 9: BRAINTEASER By MPNet (Sentence Puzzle) ↗](https://aclanthology.org/2024.semeval-1.160/)**Mohammad Hossein Abbaspour, Erfan Moosavi Monazzah, Sauleh Eetemadi
191. **[IUSTNLPLAB at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes ↗](https://aclanthology.org/2024.semeval-1.158/)**Mohammad Osoolian, Erfan Moosavi Monazzah, Sauleh Eetemadi
192. **[JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation ↗](https://aclanthology.org/2024.semeval-1.76/)**Xinyi Liu, Xintong Liu, Hengyang Lu
193. **[Kathlalu at SemEval-2024 Task 8: A Comparative Analysis of Binary Classification Methods for Distinguishing Between Human and Machine-generated Text ↗](https://aclanthology.org/2024.semeval-1.62/)**Lujia Cao, Ece Lara Kilic, Katharina Will
194. **[KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning ↗](https://aclanthology.org/2024.semeval-1.233/)**Weiqi Wang, Baixuan Xu, Haochen Shi et al.
195. **[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 No2b](https://md.research.elamur.ai/free/en/papers/skiba-2024-lomonosovmsu-semeval-2024-task-4/)**Gleb Skiba, Mikhail Pukemo, Dmitry Melikhov et al.*our summary*
196. **[LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal Emotion Linking as Graph-Based Parsing ↗](https://aclanthology.org/2024.semeval-1.182/)**Ana Ezquerro, David Vilares
197. **[MAINDZ at SemEval-2024 Task 5: CLUEDO - Choosing Legal oUtcome by Explaining Decision through Oversight ↗](https://aclanthology.org/2024.semeval-1.144/)**Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani et al.
198. **[MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent Model ↗](https://aclanthology.org/2024.semeval-1.153/)**Mahmood Kalantari, Mehdi Feghhi, Taha Khany Alamooti
199. **[Magnum JUCSE at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes ↗](https://aclanthology.org/2024.semeval-1.146/)**Adnan Khurshid, Dipankar Das
200. **[Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination Detection ↗](https://aclanthology.org/2024.semeval-1.241/)**Patanjali Bhamidipati, Advaith Malladi, Manish Shrivastava et al.

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