Papers
SaccadeX: Directed Acyclic Graph-based Semi-Supervised Learning of Continuous Ocular Dynamics from Sparse Neuromorphic Streams
Nuwan Bandara, Thivya Kandappu, Archan Misra
SAC-Diff: A Scan-Aware Consistency-Enhanced Diffusion Framework for Unsupervised Chest CT Anomaly Detection
Xinyuan Zheng, Yoshihisa Shinagawa, Sepehr Farhand et al.
SAC: Neural Speech Codec with Semantic-Acoustic Dual-Stream Quantization
Wenxi Chen, Ruiqi Yan, Yushen Chen et al.
SACodec: Asymmetric Quantization with Semantic Anchoring for Low-Bitrate High-Fidelity Neural Speech Codecs
Zhongren Dong, Bin Wang, Jing Han et al.
SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce
Li Kong, Bingzhe Wang, Zhou Chen et al.
SACTOR: LLM-Driven Correct and Idiomatic C to Rust Translation with Static Analysis and FFI-Based Verification
Tianyang Zhou, Ziyi Zhang, Haowen Lin et al.
SADA: Bridging In-Context Learning and Fine-Tuning via State-Aligned Distillation Adapters
Wenhao Gao, Tianlong Wang, Wei Jia et al.
SAD: A Large-Scale Strategic Argumentative Dialogue Dataset
YongKang Liu, Jiayang Yu, Mingyang Wang et al.
SAFARI: A Community-Engaged Approach and Dataset of Stereotype Resources in the Sub-Saharan African Context
Aishwarya Verma, Laud Ammah, Olivia Nercy Ndlovu Lucas et al.
SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator
Xueyang Zhou, Weidong Wang, Lin Lu et al.
SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation Steering
Utsav Maskey, Sumit Yadav, Mark Dras et al.
Safe-FedLLM: Delving into the Safety of Federated Large Language Models
Mingxiang Tao, Yu Tian, Wenxuan Tu et al.
SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction
Yongjae Lee, Zhaoliang Zhang, Deliang Fan
Safeguarding Language Models via Self-Destruct Trapdoor
Shahar Katz, Bar Alon, Ariel Shaulov et al.
Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment
Haozhong Wang, Zhuo Li, Yibo Yang et al.
SafeLens: Segment-Level Hate Speech Detection in Online Videos
Zhuoran Wang, Dylan Raharja, Yujia Hu et al.
SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
Lichao Wang, ZhaoXing Ren, Tianzhuo Yang et al.
SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran
SafeMT: Multi-turn Safety for Multimodal Language Models
Han Zhu, Juntao Dai, Jiaming Ji et al.
Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization
Qiwei Liu, Ye Yuan, Lingyue Zhang et al.
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
Ziyan Wang, Meng Fang, Tristan Tomilin et al.
SafeNLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces
Ruiheng Liu, Xiaobing Chen, Jinyu Zhang et al.
SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning
Peidong Wang, Zhiming Ma, Xin Dai et al.
Safe RAG by RAG: Untying the Bell That RAG Rang with the RAG Hand
Xun Liang, Mengwei Wang, Yuefeng Ma et al.
SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense
Jiayang Liu, Daniel Ts'o, Yiming Bu et al.