Elamur Research⌕
☰
home / venues / SemEval / 2024 / papers / page 3

SemEval 2024: all accepted papers

279 papers · page 3 of 3 · the most cited first · ← SemEval 2024

1 2 3

  1. MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness ↗Shijia Zhou, Huangyan Shan, Barbara Plank et al.
  2. MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness ↗Dhiman Goswami, Sadiya Sayara Chowdhury Puspo, Nishat Raihan et al.
  3. MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection ↗Sadiya Sayara Chowdhury Puspo, Nishat Raihan, Dhiman Goswami et al.
  4. NCL Team at SemEval-2024 Task 3: Fusing Multimodal Pre-training Embeddings for Emotion Cause Prediction in Conversations ↗Shu Li, Zicen Liao, Huizhi Liang
  5. NIMZ at SemEval-2024 Task 9: Evaluating Methods in Solving Brainteasers Defying Commonsense ↗Zahra Rahimi, Mohammad Moein Shirzady, Zeinab Taghavi et al.
  6. NLP-LISAC at SemEval-2024 Task 1: Transformer-based approaches for Determining Semantic Textual RelatednessAbdessamad Benlahbib, Anass Fahfouh, Hamza Alami et al.our summary
  7. NLPNCHU at SemEval-2024 Task 4: A Comparison of MDHC Strategy and In-domain Pre-training for Multilingual Detection of Persuasion Techniques in Memes ↗Shih-wei Guo, Yao-chung Fan
  8. NLP_STR_teamS at SemEval-2024 Task1: Semantic Textual Relatedness based on MASK Prediction and BERT Model ↗Lianshuang Su, Xiaobing Zhou
  9. NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual RelatednessSanad Malaysha, Mustafa Jarrar, Mohammed Khaliliaour summary
  10. 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
  11. 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
  12. NewbieML at SemEval-2024 Task 8: Ensemble Approach for Multidomain Machine-Generated Text Detection ↗Bao Tran, Nhi Tran
  13. Noot Noot at SemEval-2024 Task 7: Numerical Reasoning and Headline Generation ↗Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy
  14. NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes Detection ↗Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy
  15. OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs ↗Vineet Saravanan, Steven Wilson
  16. OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine Translation ↗Hidetsune Takahashi, Xingru Lu, Sean Ishijima et al.
  17. OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts ↗Octavian Brodoceanu
  18. OtterlyObsessedWithSemantics at SemEval-2024 Task 4: Developing a Hierarchical Multi-Label Classification Head for Large Language Models ↗Julia Wunderle, Julian Schubert, Antonella Cacciatore et al.
  19. PEAR at SemEval-2024 Task 1: Pair Encoding with Augmented Re-sampling for Semantic Textual Relatedness ↗Tollef Jørgensen
  20. PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis ↗Sofiia Levchenko, Rafał Wolert, Piotr Andruszkiewicz
  21. Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes ↗Matt Pauk, Maria Leonor Pacheco
  22. Pinealai at SemEval-2024 Task 1: Exploring Semantic Relatedness Prediction using Syntactic, TF-IDF, and Distance-Based Features. ↗Alex Eponon, Luis Ramos Perez
  23. Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back ↗Konstantin Kobs, Jan Pfister, Andreas Hotho
  24. Puer at SemEval-2024 Task 4: Fine-tuning Pre-trained Language Models for Meme Persuasion Technique Detection ↗Jiaxu Dao, Zhuoying Li, Youbang Su et al.
  25. RACAI at SemEval-2024 Task 10: Combining algorithms for code-mixed Emotion Recognition in Conversation ↗Sara Niță, Vasile Păiș
  26. RDproj at SemEval-2024 Task 4: An Ensemble Learning Approach for Multilingual Detection of Persuasion Techniques in Memes ↗Yuhang Zhu
  27. RGAT at SemEval-2024 Task 2: Biomedical Natural Language Inference using Graph Attention Network ↗Abir Chakraborty
  28. ROSHA at SemEval-2024 Task 9: BRAINTEASER A Novel Task Defying Common Sense ↗Mohammadmostafa Rostamkhani, Shayan Mousavinia, Sauleh Eetemadi
  29. RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot Approaches ↗Kejsi Take, Chau Tran
  30. SATLab at SemEval-2024 Task 1: A Fully Instance-Specific Approach for Semantic Textual Relatedness Prediction ↗Yves Bestgen
  31. SEME at SemEval-2024 Task 2: Comparing Masked and Generative Language Models on Natural Language Inference for Clinical Trials ↗Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi
  32. SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text ↗Alberto Gutiérrez Megías, L. Alfonso Ureña-lópez, Eugenio Martínez Cámara
  33. Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels ↗Hwanmun Kim, Kamal Raj Kanakarajan, Malaikannan Sankarasubbu
  34. Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less ↗Mattia Opper, N. Siddharth
  35. SemEval Task 8: A Comparison of Traditional and Neural Models for Detecting Machine Authored Text ↗Srikar Kashyap Pulipaka, Shrirang Mhalgi, Joseph Larson et al.
  36. SemEval-2024 Task 7: Numeral-Aware Language Understanding and Generation ↗Chung-chi Chen, Jian-tao Huang, Hen-hsen Huang et al.
  37. SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense ↗Yifan Jiang, Filip Ilievski, Kaixin Ma
  38. Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations ↗Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani et al.
  39. ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification ↗Meredith Gibbons, Maggie Mi, Xingyi Song et al.
  40. SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes ↗Charlie Grimshaw, Kalina Bontcheva, Xingyi Song
  41. Sina Alinejad at SemEval-2024 Task 7: Numeral Prediction using gpt3.5 ↗Sina Alinejad, Erfan Moosavi Monazzah
  42. StFX-NLP at SemEval-2024 Task 9: BRAINTEASER: Three Unsupervised Riddle-Solvers ↗Ethan Heavey, James Hughes, Milton King
  43. TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models ↗Shreejith Babu G, Ravindran V, Aashika Jetti et al.
  44. TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text ↗Xiaoyan Qu, Xiangfeng Meng
  45. Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you need ↗Béla Rösener, Hong-bo Wei, Ilinca Vandici
  46. Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization ↗Pawan Rajpoot, Nut Chukamphaeng
  47. Team art-nat-HHU at SemEval-2024 Task 8: Stylistically Informed Fusion Model for MGT-Detection ↗Vittorio Ciccarelli, Cornelia Genz, Nele Mastracchio et al.
  48. Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text ↗Joseph Larson, Francis Tyers
  49. Transformers at SemEval-2024 Task 5: Legal Argument Reasoning Task in Civil Procedure using RoBERTa ↗Kriti Singhal, Jatin Bedi
  50. TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection ↗Daniel Stuhlinger, Aron Winkler
  51. TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed Text ↗Valentin Pickard, Hoa Do
  52. Tübingen-CL at SemEval-2024 Task 1: Ensemble Learning for Semantic Relatedness Estimation ↗Leixin Zhang, Çağrı Çöltekin
  53. UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and Similarity ↗Ning Shi, Senyu Li, Guoqing Luo et al.
  54. UIC NLP GRADS at SemEval-2024 Task 3: Two-Step Disjoint Modeling for Emotion-Cause Pair Extraction ↗Sharad Chandakacherla, Vaibhav Bhargava, Natalie Parde
  55. UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations ↗Hongyu Guo, Xueyao Zhang, Yiyang Chen et al.
  56. UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation ↗Shubhashis Roy Dipta, Sai Vallurupalli
  57. UMUTeam at SemEval-2024 Task 4: Multimodal Identification of Persuasive Techniques in Memes through Large Language Models ↗Ronghao Pan, José Antonio García-díaz, Rafael Valencia-garcía
  58. USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task ↗Jianjian Li, Shengwei Liang, Yong Liao et al.
  59. UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis ↗Josef Baloun, Jiri Martinek, Ladislav Lenc et al.
  60. UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI ↗Marius Micluța-Câmpeanu, Claudiu Creangă, Ana-Maria Bucur et al.
  61. VerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship Detection ↗Anderson Morillo, Daniel Peña, Juan Carlos Martinez Santos et al.
  62. VerbaNexAI Lab at SemEval-2024 Task 3: Deciphering emotional causality in conversations using multimodal analysis approach ↗Victor Pacheco, Elizabeth Martinez, Juan Cuadrado et al.
  63. YNU-HPCC at SemEval-2024 Task 1: Self-Instruction Learning with Black-box Optimization for Semantic Textual Relatedness ↗Weijie Li, Jin Wang, Xuejie Zhang
  64. YNU-HPCC at SemEval-2024 Task 5: Regularized Legal-BERT for Legal Argument Reasoning Task in Civil Procedure ↗Peng Shi, Jin Wang, Xuejie Zhang
  65. YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation ↗Kaiyuan Chen, Jin Wang, Xuejie Zhang
  66. 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
  67. YNU-HPCC at SemEval-2024 Task10: Pre-trained Language Model for Emotion Discovery and Reasoning its Flip in Conversation ↗Chenyi Liang, Jin Wang, Xuejie Zhang
  68. YSP at SemEval-2024 Task 1: Enhancing Sentence Relatedness Assessment using Siamese Networks ↗Yasamin Aali, Sardar Hamidian, Parsa Farinneya
  69. ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning ↗Zhen Qian, Xiaofei Xu, Xiuzhen Zhang
  70. Zero Shot is All You Need at SemEval-2024 Task 9: A study of State of the Art LLMs on Lateral Thinking Puzzles ↗Erfan Moosavi Monazzah, Mahdi Feghhi
  71. eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure ↗Hoorieh Sabzevari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi
  72. hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English) ↗Hinoki Crum, Steven Bethard
  73. 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 et al.
  74. iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers ↗Harshit Gupta, Manav Chaudhary, Shivansh Subramanian et al.
  75. ignore at SemEval-2024 Task 5: A Legal Classification Model with Summary Generation and Contrastive Learning ↗Binjie Sun, Xiaobing Zhou
  76. iimasNLP at SemEval-2024 Task 8: Unveiling structure-aware language models for automatic generated text identification ↗Andric Valdez, Fernando Márquez, Jorge Pantaleón et al.
  77. nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual Memes ↗Abu Nowhash Chowdhury, Michal Ptaszynski
  78. silp_nlp at SemEval-2024 Task 1: Cross-lingual Knowledge Transfer for Mono-lingual Learning ↗Sumit Singh, Pankaj Goyal, Uma Tiwary
  79. uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers? ↗Pouya Sadeghi, Amirhossein Abaskohi, Yadollah Yaghoobzadeh

1 2 3

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/semeval/2024/papers/page/3/