Papers
SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning
Jingyang Wang, Hengyue Bi, Jingchao Cao et al.
SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models
Xun Liang, Hanyu Wang, Huayi Lai et al.
SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation
Xichen Zhang, Ziyi He, Yinghao Zhu et al.
SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine
Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
Tianle Xia, Ming Xu, Lingxiang Hu et al.
SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents
Xinshun Feng, Xinhao Song, Lijun Li et al.
SEBSFormer: A Spectral-Enhanced Bi-Stream Transformer for Robust EEG Decoding
Lin Zhang, Shikui Tu, Lei Xu
SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute
Bowen Shen, Yuyue Chen, Peng Yang et al.
SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs
Mohamed Shaaban, Mohamed Elmahallawy
SeCuRepair: Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework
Chengran Yang, Ting Zhang, Jinfeng Jiang et al.
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
Junkai Chen, Huihui Huang, Yunbo Lyu et al.
Security Games with Layered Defenses: Adaptive Adversaries and Gittins Indices
Chun Kai Ling, Jakub Černý, Chin Hui Han et al.
SeDev: Structured Semantic Exploration for LLM-Driven Code Generation
Ronghui Yang, Jie Liu, Jiajie Zeng et al.
SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning
Yijie Chen, Yijin Liu, Fandong Meng
See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers
Ding Xia, Xinyue Gui, Mark Colley et al.
SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting
Feng Xiong, Zongxia Xie, Yanru Sun et al.
Seeing All Sides: Multi-Perspective In-Context Learning for Subjective NLP
Benedetta Muscato, Yue Li, Gizem Gezici et al.
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka et al.
Seeing Beyond Illusion: Generalized and Efficient Mirror Detection
Mingfeng Zha, Guoqing Wang, Tianyu Li et al.
Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
Haolei Xu, Haiwen Hong, Hongxing Li et al.
Seeing Down the Line: Endoscopic Reconstruction with Centerline Constraints
Andrea Dunn Beltran, Romain Hardy, Pranav Rajpurkar
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs
Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong et al.
Seeing in Double: Dual-Granularity BEV Segmentation via Mamba-Driven Alignment and Polar-Decoupled Experts
Jiaxin Cai, Rui Lin, Jingze Su et al.
Seeing is Believing (and Predicting): Context-Aware Multi-Human Behavior Prediction with Vision Language Models
Utsav Panchal, Yuchen Liu, Luigi Palmieri et al.