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

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

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201. **[MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness ↗](https://aclanthology.org/2024.semeval-1.259/)**Shijia Zhou, Huangyan Shan, Barbara Plank et al.
202. **[MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness ↗](https://aclanthology.org/2024.semeval-1.199/)**Dhiman Goswami, Sadiya Sayara Chowdhury Puspo, Nishat Raihan et al.
203. **[MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection ↗](https://aclanthology.org/2024.semeval-1.197/)**Sadiya Sayara Chowdhury Puspo, Nishat Raihan, Dhiman Goswami et al.
204. **[NCL Team at SemEval-2024 Task 3: Fusing Multimodal Pre-training Embeddings for Emotion Cause Prediction in Conversations ↗](https://aclanthology.org/2024.semeval-1.44/)**Shu Li, Zicen Liao, Huizhi Liang
205. **[NIMZ at SemEval-2024 Task 9: Evaluating Methods in Solving Brainteasers Defying Commonsense ↗](https://aclanthology.org/2024.semeval-1.23/)**Zahra Rahimi, Mohammad Moein Shirzady, Zeinab Taghavi et al.
206. **[NLP-LISAC at SemEval-2024 Task 1: Transformer-based approaches for Determining Semantic Textual Relatedness](https://md.research.elamur.ai/free/en/papers/benlahbib-2024-nlp-lisac-semeval-2024-task/)**Abdessamad Benlahbib, Anass Fahfouh, Hamza Alami et al.*our summary*
207. **[NLPNCHU at SemEval-2024 Task 4: A Comparison of MDHC Strategy and In-domain Pre-training for Multilingual Detection of Persuasion Techniques in Memes ↗](https://aclanthology.org/2024.semeval-1.262/)**Shih-wei Guo, Yao-chung Fan
208. **[NLP_STR_teamS at SemEval-2024 Task1: Semantic Textual Relatedness based on MASK Prediction and BERT Model ↗](https://aclanthology.org/2024.semeval-1.51/)**Lianshuang Su, Xiaobing Zhou
209. **[NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness](https://md.research.elamur.ai/free/en/papers/malaysha-2024-nlu-str-semeval-2024-task/)**Sanad Malaysha, Mustafa Jarrar, Mohammed Khalilia*our summary*
210. **[NRK at SemEval-2024 Task 1: Semantic Textual Relatedness through Domain Adaptation and Ensemble Learning on BERT-based models ↗](https://aclanthology.org/2024.semeval-1.13/)**Nguyen Tuan Kiet, Dang Van Thin
211. **[NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT ↗](https://aclanthology.org/2024.semeval-1.39/)**Thanet Markchom, Subin Jung, Huizhi Liang
212. **[NewbieML at SemEval-2024 Task 8: Ensemble Approach for Multidomain Machine-Generated Text Detection ↗](https://aclanthology.org/2024.semeval-1.54/)**Bao Tran, Nhi Tran
213. **[Noot Noot at SemEval-2024 Task 7: Numerical Reasoning and Headline Generation ↗](https://aclanthology.org/2024.semeval-1.131/)**Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy
214. **[NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes Detection ↗](https://aclanthology.org/2024.semeval-1.139/)**Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy
215. **[OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs ↗](https://aclanthology.org/2024.semeval-1.32/)**Vineet Saravanan, Steven Wilson
216. **[OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine Translation ↗](https://aclanthology.org/2024.semeval-1.2/)**Hidetsune Takahashi, Xingru Lu, Sean Ishijima et al.
217. **[OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts ↗](https://aclanthology.org/2024.semeval-1.169/)**Octavian Brodoceanu
218. **[OtterlyObsessedWithSemantics at SemEval-2024 Task 4: Developing a Hierarchical Multi-Label Classification Head for Large Language Models ↗](https://aclanthology.org/2024.semeval-1.90/)**Julia Wunderle, Julian Schubert, Antonella Cacciatore et al.
219. **[PEAR at SemEval-2024 Task 1: Pair Encoding with Augmented Re-sampling for Semantic Textual Relatedness ↗](https://aclanthology.org/2024.semeval-1.202/)**Tollef Jørgensen
220. **[PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis ↗](https://aclanthology.org/2024.semeval-1.159/)**Sofiia Levchenko, Rafał Wolert, Piotr Andruszkiewicz
221. **[Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes ↗](https://aclanthology.org/2024.semeval-1.204/)**Matt Pauk, Maria Leonor Pacheco
222. **[Pinealai at SemEval-2024 Task 1: Exploring Semantic Relatedness Prediction using Syntactic, TF-IDF, and Distance-Based Features. ↗](https://aclanthology.org/2024.semeval-1.135/)**Alex Eponon, Luis Ramos Perez
223. **[Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back ↗](https://aclanthology.org/2024.semeval-1.219/)**Konstantin Kobs, Jan Pfister, Andreas Hotho
224. **[Puer at SemEval-2024 Task 4: Fine-tuning Pre-trained Language Models for Meme Persuasion Technique Detection ↗](https://aclanthology.org/2024.semeval-1.11/)**Jiaxu Dao, Zhuoying Li, Youbang Su et al.
225. **[RACAI at SemEval-2024 Task 10: Combining algorithms for code-mixed Emotion Recognition in Conversation ↗](https://aclanthology.org/2024.semeval-1.149/)**Sara Niță, Vasile Păiș
226. **[RDproj at SemEval-2024 Task 4: An Ensemble Learning Approach for Multilingual Detection of Persuasion Techniques in Memes ↗](https://aclanthology.org/2024.semeval-1.28/)**Yuhang Zhu
227. **[RGAT at SemEval-2024 Task 2: Biomedical Natural Language Inference using Graph Attention Network ↗](https://aclanthology.org/2024.semeval-1.19/)**Abir Chakraborty
228. **[ROSHA at SemEval-2024 Task 9: BRAINTEASER A Novel Task Defying Common Sense ↗](https://aclanthology.org/2024.semeval-1.150/)**Mohammadmostafa Rostamkhani, Shayan Mousavinia, Sauleh Eetemadi
229. **[RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot Approaches ↗](https://aclanthology.org/2024.semeval-1.200/)**Kejsi Take, Chau Tran
230. **[SATLab at SemEval-2024 Task 1: A Fully Instance-Specific Approach for Semantic Textual Relatedness Prediction ↗](https://aclanthology.org/2024.semeval-1.16/)**Yves Bestgen
231. **[SEME at SemEval-2024 Task 2: Comparing Masked and Generative Language Models on Natural Language Inference for Clinical Trials ↗](https://aclanthology.org/2024.semeval-1.143/)**Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi
232. **[SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text ↗](https://aclanthology.org/2024.semeval-1.216/)**Alberto Gutiérrez Megías, L. Alfonso Ureña-lópez, Eugenio Martínez Cámara
233. **[Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels ↗](https://aclanthology.org/2024.semeval-1.205/)**Hwanmun Kim, Kamal Raj Kanakarajan, Malaikannan Sankarasubbu
234. **[Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less ↗](https://aclanthology.org/2024.semeval-1.18/)**Mattia Opper, N. Siddharth
235. **[SemEval Task 8: A Comparison of Traditional and Neural Models for Detecting Machine Authored Text ↗](https://aclanthology.org/2024.semeval-1.148/)**Srikar Kashyap Pulipaka, Shrirang Mhalgi, Joseph Larson et al.
236. **[SemEval-2024 Task 7: Numeral-Aware Language Understanding and Generation ↗](https://aclanthology.org/2024.semeval-1.213/)**Chung-chi Chen, Jian-tao Huang, Hen-hsen Huang et al.
237. **[SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense ↗](https://aclanthology.org/2024.semeval-1.274/)**Yifan Jiang, Filip Ilievski, Kaixin Ma
238. **[Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations ↗](https://aclanthology.org/2024.semeval-1.151/)**Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani et al.
239. **[ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification ↗](https://aclanthology.org/2024.semeval-1.261/)**Meredith Gibbons, Maggie Mi, Xingyi Song et al.
240. **[SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes ↗](https://aclanthology.org/2024.semeval-1.278/)**Charlie Grimshaw, Kalina Bontcheva, Xingyi Song
241. **[Sina Alinejad at SemEval-2024 Task 7: Numeral Prediction using gpt3.5 ↗](https://aclanthology.org/2024.semeval-1.157/)**Sina Alinejad, Erfan Moosavi Monazzah
242. **[StFX-NLP at SemEval-2024 Task 9: BRAINTEASER: Three Unsupervised Riddle-Solvers ↗](https://aclanthology.org/2024.semeval-1.5/)**Ethan Heavey, James Hughes, Milton King
243. **[TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models ↗](https://aclanthology.org/2024.semeval-1.130/)**Shreejith Babu G, Ravindran V, Aashika Jetti et al.
244. **[TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text ↗](https://aclanthology.org/2024.semeval-1.102/)**Xiaoyan Qu, Xiangfeng Meng
245. **[Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you need ↗](https://aclanthology.org/2024.semeval-1.237/)**Béla Rösener, Hong-bo Wei, Ilinca Vandici
246. **[Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization ↗](https://aclanthology.org/2024.semeval-1.103/)**Pawan Rajpoot, Nut Chukamphaeng
247. **[Team art-nat-HHU at SemEval-2024 Task 8: Stylistically Informed Fusion Model for MGT-Detection ↗](https://aclanthology.org/2024.semeval-1.242/)**Vittorio Ciccarelli, Cornelia Genz, Nele Mastracchio et al.
248. **[Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text ↗](https://aclanthology.org/2024.semeval-1.73/)**Joseph Larson, Francis Tyers
249. **[Transformers at SemEval-2024 Task 5: Legal Argument Reasoning Task in Civil Procedure using RoBERTa ↗](https://aclanthology.org/2024.semeval-1.140/)**Kriti Singhal, Jatin Bedi
250. **[TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection ↗](https://aclanthology.org/2024.semeval-1.227/)**Daniel Stuhlinger, Aron Winkler
251. **[TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed Text ↗](https://aclanthology.org/2024.semeval-1.118/)**Valentin Pickard, Hoa Do
252. **[Tübingen-CL at SemEval-2024 Task 1: Ensemble Learning for Semantic Relatedness Estimation ↗](https://aclanthology.org/2024.semeval-1.147/)**Leixin Zhang, Çağrı Çöltekin
253. **[UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and Similarity ↗](https://aclanthology.org/2024.semeval-1.254/)**Ning Shi, Senyu Li, Guoqing Luo et al.
254. **[UIC NLP GRADS at SemEval-2024 Task 3: Two-Step Disjoint Modeling for Emotion-Cause Pair Extraction ↗](https://aclanthology.org/2024.semeval-1.198/)**Sharad Chandakacherla, Vaibhav Bhargava, Natalie Parde
255. **[UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations ↗](https://aclanthology.org/2024.semeval-1.110/)**Hongyu Guo, Xueyao Zhang, Yiyang Chen et al.
256. **[UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation ↗](https://aclanthology.org/2024.semeval-1.195/)**Shubhashis Roy Dipta, Sai Vallurupalli
257. **[UMUTeam at SemEval-2024 Task 4: Multimodal Identification of Persuasive Techniques in Memes through Large Language Models ↗](https://aclanthology.org/2024.semeval-1.96/)**Ronghao Pan, José Antonio García-díaz, Rafael Valencia-garcía
258. **[USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task ↗](https://aclanthology.org/2024.semeval-1.126/)**Jianjian Li, Shengwei Liang, Yong Liao et al.
259. **[UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis ↗](https://aclanthology.org/2024.semeval-1.49/)**Josef Baloun, Jiri Martinek, Ladislav Lenc et al.
260. **[UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI ↗](https://aclanthology.org/2024.semeval-1.88/)**Marius Micluța-Câmpeanu, Claudiu Creangă, Ana-Maria Bucur et al.
261. **[VerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship Detection ↗](https://aclanthology.org/2024.semeval-1.194/)**Anderson Morillo, Daniel Peña, Juan Carlos Martinez Santos et al.
262. **[VerbaNexAI Lab at SemEval-2024 Task 3: Deciphering emotional causality in conversations using multimodal analysis approach ↗](https://aclanthology.org/2024.semeval-1.193/)**Victor Pacheco, Elizabeth Martinez, Juan Cuadrado et al.
263. **[YNU-HPCC at SemEval-2024 Task 1: Self-Instruction Learning with Black-box Optimization for Semantic Textual Relatedness ↗](https://aclanthology.org/2024.semeval-1.113/)**Weijie Li, Jin Wang, Xuejie Zhang
264. **[YNU-HPCC at SemEval-2024 Task 5: Regularized Legal-BERT for Legal Argument Reasoning Task in Civil Procedure ↗](https://aclanthology.org/2024.semeval-1.108/)**Peng Shi, Jin Wang, Xuejie Zhang
265. **[YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation ↗](https://aclanthology.org/2024.semeval-1.141/)**Kaiyuan Chen, Jin Wang, Xuejie Zhang
266. **[YNU-HPCC at SemEval-2024 Task 9: Using Pre-trained Language Models with LoRA for Multiple-choice Answering Tasks ↗](https://aclanthology.org/2024.semeval-1.72/)**Jie Wang, Jin Wang, Xuejie Zhang
267. **[YNU-HPCC at SemEval-2024 Task10: Pre-trained Language Model for Emotion Discovery and Reasoning its Flip in Conversation ↗](https://aclanthology.org/2024.semeval-1.111/)**Chenyi Liang, Jin Wang, Xuejie Zhang
268. **[YSP at SemEval-2024 Task 1: Enhancing Sentence Relatedness Assessment using Siamese Networks ↗](https://aclanthology.org/2024.semeval-1.138/)**Yasamin Aali, Sardar Hamidian, Parsa Farinneya
269. **[ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning ↗](https://aclanthology.org/2024.semeval-1.34/)**Zhen Qian, Xiaofei Xu, Xiuzhen Zhang
270. **[Zero Shot is All You Need at SemEval-2024 Task 9: A study of State of the Art LLMs on Lateral Thinking Puzzles ↗](https://aclanthology.org/2024.semeval-1.264/)**Erfan Moosavi Monazzah, Mahdi Feghhi
271. **[eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure ↗](https://aclanthology.org/2024.semeval-1.133/)**Hoorieh Sabzevari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi
272. **[hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English) ↗](https://aclanthology.org/2024.semeval-1.6/)**Hinoki Crum, Steven Bethard
273. **[iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing ↗](https://aclanthology.org/2024.semeval-1.26/)**Abbas Akkasi, Adnan Khan, Mai A. Shaaban et al.
274. **[iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers ↗](https://aclanthology.org/2024.semeval-1.250/)**Harshit Gupta, Manav Chaudhary, Shivansh Subramanian et al.
275. **[ignore at SemEval-2024 Task 5: A Legal Classification Model with Summary Generation and Contrastive Learning ↗](https://aclanthology.org/2024.semeval-1.80/)**Binjie Sun, Xiaobing Zhou
276. **[iimasNLP at SemEval-2024 Task 8: Unveiling structure-aware language models for automatic generated text identification ↗](https://aclanthology.org/2024.semeval-1.161/)**Andric Valdez, Fernando Márquez, Jorge Pantaleón et al.
277. **[nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual Memes ↗](https://aclanthology.org/2024.semeval-1.21/)**Abu Nowhash Chowdhury, Michal Ptaszynski
278. **[silp_nlp at SemEval-2024 Task 1: Cross-lingual Knowledge Transfer for Mono-lingual Learning ↗](https://aclanthology.org/2024.semeval-1.174/)**Sumit Singh, Pankaj Goyal, Uma Tiwary
279. **[uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers? ↗](https://aclanthology.org/2024.semeval-1.251/)**Pouya Sadeghi, Amirhossein Abaskohi, Yadollah Yaghoobzadeh

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