Papers
SegMo: Segment-aligned Text to 3D Human Motion Generation
Bowen Dang, Lin Wu, Xiaohang Yang et al.
SegTune: Structured and Fine-Grained Control for Song Generation
Yuejiao Wang, Zihao Ji, Pengfei Cai et al.
SeLaR: Selective Latent Reasoning in Large Language Models
Renyu Fu, Guibo Luo
SELDON: Supernova Explosions Learned by Deep ODE Networks
Jiezhong Wu, Jack O'Brien, Jennifer Li et al.
Select Before Use: On the Importance of Reference Model Selection in Preference Alignment
Muyang Li, Runze Wu, Xiangyu Zhao et al.
SELECting over Tokens: Curating Pre-training Data at Scale via Token Classification
Xin Tong, Weidong Zhang, Jiaang Li et al.
Selection of LLM Fine-Tuning Data Based on Orthogonal Rules
Xiaomin Li, Mingye Gao, Zhiwei Zhang et al.
Selective Contrastive Learning For Gloss Free Sign Language Translation
Chang Hao Lai, Rui Zhao, Xuewen Zhong et al.
Selective Diffusion Distillation for Real-World High-Scale Image Super-Resolution
Wenli Zheng, Huiyuan Fu, Zekai Xu et al.
Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity Detection
Shize Zhou, Peiyu Liu, Lirong Fu et al.
Selective Multimodal Retrieval for Automated Verification of Image–Text Claims
Yoana Tsoneva, Paul-Conrad Feig, Jiaao Li et al.
Selective Span-Level Unlearning for Large Language Models
Chaewon Yoon, Dongjun Kim, Hyun-Je Song
Selective Test-Time Debiasing for CLIP via Reward Gating
Jaeho Han, Jisoo Yang, Hyeondong Woo et al.
Selective Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
SELENE: Selective and Evidence-Weighted LLM Debating for Efficient and Reliable Reasoning
Akshay Verma, Swapnil Gupta, Deepak Gupta et al.
Self-Adaptive Graph Mixture of Models
Mohit Meena, Yash Punjabi, Abhishek A et al.
Self-Correction Distillation for Structured Data Question Answering
Yushan Zhu, Wen Zhang, Long Jin et al.
Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
Zihan Li, Wei Sun, Jing Hu et al.
Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation
Ning Wang, Zhanyang Liu, Taotao Zhou et al.
Self-Guided Planning and Repair Framework for Code Generation (Student Abstract)
Chun-Wei Kang, Chung-Chi Chen, An-Zi Yen
Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning
Xiaojing Li, Bin Wang, Xiaochun Yang et al.
Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys
Xu Yang, Jiapeng Zhang, Dongyang Zhao et al.
Self-Interpretable Subgraph Neural Network with Deep Reinforcement Walk Exploration
Jianming Huang, Hiroyuki Kasai
Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning
Fu-Yun Wang, Keqiang Sun, Yao Teng et al.
Self-Reflective Generation at Test Time
Jian Mu, Qixin Zhang, Zhiyong Wang et al.