Papers
T3M: Text Guided 3D Human Motion Synthesis from Speech
Wenshuo Peng, Kaipeng Zhang, Sai Qian Zhang
TableLlama: Towards Open Large Generalist Models for Tables
Tianshu Zhang, Xiang Yue, Yifei Li et al.
TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
Md Mahadi Hasan Nahid, Davood Rafiei
TagDebias: Entity and Concept Tagging for Social Bias Mitigation in Pretrained Language Models
Mehrnaz Moslemi, Amal Zouaq
Tailoring Vaccine Messaging with Common-Ground Opinions
Rickard Stureborg, Sanxing Chen, Roy Xie et al.
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
Kazuma Hashimoto, Karthik Raman, Michael Bendersky
Targeted Augmentation for Low-Resource Event Extraction
Sijia Wang, Lifu Huang
Task-Agnostic Detector for Insertion-Based Backdoor Attacks
Weimin Lyu, Xiao Lin, Songzhu Zheng et al.
Teaching Language Models to Self-Improve through Interactive Demonstrations
Xiao Yu, Baolin Peng, Michel Galley et al.
Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer
Hele-Andra Kuulmets, Taido Purason, Agnes Luhtaru et al.
Team art-nat-HHU at SemEval-2024 Task 8: Stylistically Informed Fusion Model for MGT-Detection
Vittorio Ciccarelli, Cornelia Genz, Nele Mastracchio et al.
Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you need
Béla Rösener, Hong-bo Wei, Ilinca Vandici
Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text
Joseph Larson, Francis Tyers
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