Papers
Slot State Space Models
Jindong Jiang, Fei Deng, Gautam Singh et al.
Slot-VLM: Object-Event Slots for Video-Language Modeling
Jiaqi Xu, Cuiling Lan, Wenxuan Xie et al.
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
Tehila Dahan, Kfir Y. Levy
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM
Ming Nie, Dan Ding, Chunwei Wang et al.
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining
Andi Han, Jiaxiang Li, Wei Huang et al.
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
Sithursan Sivasubramaniam, Cedric Osei-Akoto, Yi Zhang et al.
Small coresets via negative dependence: DPPs, linear statistics, and concentration
Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon-Onfroy et al.
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
Jincheng Mei, Bo Dai, Alekh Agarwal et al.
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
Yu Yang, Siddhartha Mishra, Jeffrey Chiang et al.
SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction
Wei Wu, Xiaoxin Feng, Ziyan Gao et al.
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
Zhihao Yu, Xu Chu, Yujie Jin et al.
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu et al.
Smoke and Mirrors in Causal Downstream Tasks
Riccardo Cadei, Lukas Lindorfer, Sylvia Cremer et al.
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
Gengmo Zhou, Zhen Wang, Feng Yu et al.
Smoothed Online Classification can be Harder than Batch Classification
Vinod Raman, Unique Subedi, Ambuj Tewari
Smoothie: Label Free Language Model Routing
Neel Guha, Mayee F. Chen, Trevor Chow et al.
SnapKV: LLM Knows What You are Looking for Before Generation
Yuhong Li, Yingbing Huang, Bowen Yang et al.
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
Wanhua Li, Zibin Meng, Jiawei Zhou et al.
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
Jiayu Liu, Zhenya Huang, Tong Xiao et al.
Soft ascent-descent as a stable and flexible alternative to flooding
Matthew J. Holland, Kosuke Nakatani
Soft-Label Integration for Robust Toxicity Classification
Zelei Cheng, Xian Wu, Jiahao Yu et al.
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Leo Schwinn, David Dobre, Sophie Xhonneux et al.
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Lu Han, Xu-Yang Chen, Han-Jia Ye et al.
Soft Superpixel Neighborhood Attention
Kent Gauen, Stanley Chan