Papers
Scented-EAE: Stage-Customized Entity Type Embedding for Event Argument Extraction
Yu Yang, Jinyu Guo, Kai Shuang et al.
SciMind: A Multimodal Mixture-of-Experts Model for Advancing Pharmaceutical Sciences
Zhaoping Xiong, Xintao Fang, Haotian Chu et al.
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
Siwei Wu, Yizhi Li, Kang Zhu et al.
SciMON: Scientific Inspiration Machines Optimized for Novelty
Qingyun Wang, Doug Downey, Heng Ji et al.
SDA: Semantic Discrepancy Alignment for Text-conditioned Image Retrieval
Yuchen Yang, Yu Wang, Yanfeng Wang
Se2: Sequential Example Selection for In-Context Learning
Haoyu Liu, Jianfeng Liu, Shaohan Huang et al.
SeaLLMs - Large Language Models for Southeast Asia
Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li et al.
Search-Adaptor: Embedding Customization for Information Retrieval
Jinsung Yoon, Yanfei Chen, Sercan Arik et al.
SEA-VQA: Southeast Asian Cultural Context Dataset For Visual Question Answering
Norawit Urailertprasert, Peerat Limkonchotiwat, Supasorn Suwajanakorn et al.
SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation
Barbara Gendron, Gaël Guibon
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
Kanzhi Cheng, Qiushi Sun, Yougang Chu et al.
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai
Parinthapat Pengpun, Can Udomcharoenchaikit, Weerayut Buaphet et al.
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran et al.
See It All: Contextualized Late Aggregation for 3D Dense Captioning
Minjung Kim, Hyung Lim, Seung Hwan Kim et al.
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning
Guoxin Chen, Kexin Tang, Chao Yang et al.
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
Xueliang Zhao, Xinting Huang, Wei Bi et al.
Selectively Answering Visual Questions
Julian Eisenschlos, Hernán Maina, Guido Ivetta et al.
Selective Prefix Tuning for Pre-trained Language Models
Hongyi Zhang, Zuchao Li, Ping Wang et al.
Selective Prompting Tuning for Personalized Conversations with LLMs
Qiushi Huang, Xubo Liu, Tom Ko et al.
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
Ming Li, Lichang Chen, Jiuhai Chen et al.
Selective “Selective Prediction”: Reducing Unnecessary Abstention in Vision-Language Reasoning
Tejas Srinivasan, Jack Hessel, Tanmay Gupta et al.
Selene: Pioneering Automated Proof in Software Verification
Lichen Zhang, Shuai Lu, Nan Duan
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
Xiaoying Zhang, Baolin Peng, Ye Tian et al.
Self-Augmented In-Context Learning for Unsupervised Word Translation
Yaoyiran Li, Anna Korhonen, Ivan Vulić