Papers
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.
TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis
Hyeonjin Kim, Min Kim, Jae Jang et al.
Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text
Kevin Li, Kenan Hasanaliyev, Sally Zhu et al.
Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ?
Nesrine Bannour, Judith Jeyafreeda Andrew, Marc Vincent
Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization
Pawan Rajpoot, Nut Chukamphaeng
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.
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. Dinu
Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4
Dan Schumacher, Anthony Rios
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.
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.
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.
“Tell me who you are and I tell you how you argue”: Predicting Stances and Arguments for Stakeholder Groups
Philipp Heinisch, Lorik Dumani, Philipp Cimiano et al.
Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models
Majid Zarharan, Pascal Wullschleger, Babak Behkam Kia et al.
TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation
Taeyang Yun, Hyunkuk Lim, Jeonghwan Lee et al.
Testing the Effect of Code Documentation on Large Language Model Code Understanding
William Macke, Michael Doyle
Testing the limits of logical reasoning in neural and hybrid models
Manuel Vargas Guzmán, Jakub Szymanik, Maciej Malicki
Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation
Hongyi Yuan, Zheng Yuan, Chuanqi Tan et al.
The ART of LLM Refinement: Ask, Refine, and Trust
Kumar Shridhar, Koustuv Sinha, Andrew Cohen et al.
The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline
Matthew Shardlow, Fernando Alva-Manchego, Riza Batista-Navarro et al.
The Bias Amplification Paradox in Text-to-Image Generation
Preethi Seshadri, Sameer Singh, Yanai Elazar
The British Council submission to the BEA 2024 shared task
Mariano Felice, Zeynep Duran Karaoz
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
Shir Lissak, Nitay Calderon, Geva Shenkman et al.
The Crime of Being Poor: Associations between Crime and Poverty on Social Media in Eight Countries
Georgina Curto, Svetlana Kiritchenko, Kathleen Fraser et al.
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
Yanzhu Guo, Guokan Shang, Michalis Vazirgiannis et al.