Papers
176,624 papers found
SGS-3D: High-Fidelity 3D Instance Segmentation via Reliable Semantic Mask Splitting and Growing
Chaolei Wang, Yang Luo, Jing Du et al.
SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger
Sunguk Shin, Fangzhao Wu, Byung-Jun Lee et al.
ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs
Xu Zhang, Hangcheng Liu, Shangwei Guo et al.
SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks
Yuze Liu, Chaochao Lu, Chao Yang
Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems
Xiaoqing Wang, Keman Huang, Bin Liang et al.
ShaLa: Multimodal Shared Latent Generative Modelling
Jiali Cui, Yan-Ying Chen, Yanxia Zhang et al.
Shanks: Simultaneous Hearing and Thinking for Spoken Language Models
Cheng-Han Chiang, Xiaofei Wang, Linjie Li et al.
ShapBPT: Image Feature Attributions Using Data-Aware Binary Partition Trees
Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari et al.
SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning
Zhengyang Ai, Zikang Shan, Xiaodong Ai et al.
SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMs
Sihang Zhao, Kangrui Yu, Youliang Yuan et al.
Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
Haonan Xu, Yang Yang
Shaping Without Tearing: Controllable Diffeomorphic Deformations for Topology-Preserving 3D Point Cloud Augmentation
Jian Bi, Qianliang Wu, Jianjun Qian et al.
Shapley Value Approximation Based on k-Additive Games
Guilherme Dean Pelegrina, Patrick Kolpaczki, Eyke Hüllermeier
Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation
Jianchao Zhao, Chenhao Ding, SongLin Dong et al.
SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences
Arpan Mukherjee, Marcello Bullo, Deniz Gündüz
SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models
Peihua Mai, Xuanrong Gao, Youlong Ding et al.
SHARE: Synthesizing Heterogeneous Autism-support Records into Evidence-based Recommendations
Saumya Chauhan, Mila Hong
Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning
Magauiya Zhussip, Dmitriy Shopkhoev, Ammar Ali et al.
Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning
Jialong Qin, Xin Zou, Di Lu et al.
SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box Jailbreaking
Yingjie Xue, Xingyou Xia, Jun Zhang et al.
SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression
Jeongin Yun, Jaeri Lee, Jongjin Kim et al.
SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition
Anay Majee, Rishabh Iyer