Papers
SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning
Bin Wang, Zhengyuan Liu, Xin Huang et al.
Search Query Refinement for Japanese Named Entity Recognition in E-commerce Domain
Yuki Nakayama, Ryutaro Tatsushima, Erick Mendieta et al.
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models
Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai et al.
Select and Summarize: Scene Saliency for Movie Script Summarization
Rohit Saxena, Frank Keller
Selective Perception: Learning Concise State Descriptions for Language Model Actors
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim et al.
Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models
Wei Han, Hui Chen, Min-Yen Kan et al.
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
Miaoran Li, Baolin Peng, Michel Galley et al.
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances
Zhendong Chu, Ruiyi Zhang, Tong Yu et al.
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
Wei He, Shichun Liu, Jun Zhao et al.
SELF-EXPERTISE: Knowledge-based Instruction Dataset Augmentation for a Legal Expert Language Model
Minju Kim, Haein Jung, Myoung-Wan Koo
Self-generated Replay Memories for Continual Neural Machine Translation
Michele Resta, Davide Bacciu
SELF-GUARD: Empower the LLM to Safeguard Itself
Zezhong Wang, Fangkai Yang, Lu Wang et al.
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
Tingyu Xie, Qi Li, Yan Zhang et al.
Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
Junlong Li, Jinyuan Wang, Zhuosheng Zhang et al.
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification
Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi et al.
Self-Regulated Sample Diversity in Large Language Models
Mingyue Liu, Jonathan Frawley, Sarah Wyer et al.
Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less
Mattia Opper, N. Siddharth
Semantically-Prompted Language Models Improve Visual Descriptions
Michael Ogezi, Bradley Hauer, Grzegorz Kondrak
SemanticCUETSync at SemEval-2024 Task 1: Finetuning Sentence Transformer to Find Semantic Textual Relatedness
Md. Sajjad Hossain, Ashraful Islam Paran, Symom Hossain Shohan et al.
Semantic-Preserving Adversarial Example Attack against BERT
Chongyang Gao, Kang Gu, Soroush Vosoughi et al.
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
SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
Shivani Kumar, Md. Shad Akhtar, Erik Cambria et al.
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
Mael Jullien, Marco Valentino, André Freitas
SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations
Fanfan Wang, Heqing Ma, Rui Xia et al.
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
Dimitar Dimitrov, Firoj Alam, Maram Hasanain et al.