Papers
SEMQA: Semi-Extractive Multi-Source Question Answering
Tal Schuster, Adam Lelkes, Haitian Sun et al.
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
Brian Formento, Wenjie Feng, Chuan-Sheng Foo et al.
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation
Abe Hou, Jingyu Zhang, Tianxing He et al.
Sensemaking of Socially-Mediated Crisis Information
Vrushali Koli, Jun Yuan, Aritra Dasgupta
Sentence-level Media Bias Analysis with Event Relation Graph
Yuanyuan Lei, Ruihong Huang
Sentiment Analysis in the Era of Large Language Models: A Reality Check
Wenxuan Zhang, Yue Deng, Bing Liu et al.
Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution
Xiyuan Zou, Yiran Li, Ian Porada et al.
Separation and Fusion: A Novel Multiple Token Linking Model for Event Argument Extraction
Jing Xu, Dandan Song, Siu Hui et al.
Sequential Compositional Generalization in Multimodal Models
Semih Yagcioglu, Osman Batur İnce, Aykut Erdem et al.
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models
Manav Kapadnis, Sohan Patnaik, Abhilash Nandy et al.
Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation
Xingwei Tan, Yuxiang Zhou, Gabriele Pergola et al.
SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore
Ri Chi Ng, Nirmalendu Prakash, Ming Shan Hee et al.
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation
Shasha Guo, Lizi Liao, Jing Zhang et al.
Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated Text
Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani et al.
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.
SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning
Thanh-Thien Le, Viet Dao, Linh Nguyen et al.
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search
J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification
Meredith Gibbons, Maggie Mi, Xingyi Song et al.
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
Show Your Work with Confidence: Confidence Bands for Tuning Curves
Nicholas Lourie, Kyunghyun Cho, He He
SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection
Bradley Allen, Fina Polat, Paul Groth
Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation
Honghao Fu, Liang Zhang, Biao Fu et al.
silp_nlp at SemEval-2024 Task 1: Cross-lingual Knowledge Transfer for Mono-lingual Learning
Sumit Singh, Pankaj Goyal, Uma Tiwary
Simple and effective data augmentation for compositional generalization
Yuekun Yao, Alexander Koller
Simple LLM based Approach to Counter Algospeak
Jan Fillies, Adrian Paschke