Papers
StackEval: Benchmarking LLMs in Coding Assistance
Nidhish Shah, Zulkuf Genc, Dogu Araci
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
Wenyu Du, Tongxu Luo, Zihan Qiu et al.
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
Hang Zhou, Yehui Tang, Haochen Qin et al.
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
Shirley Wu, Shiyu Zhao, Michihiro Yasunaga et al.
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
Jintao Guo, Lei Qi, Yinghuan Shi et al.
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen, Wen Zheng Terence Ng, Zichen Chen et al.
State-free Reinforcement Learning
Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang
State Space Models on Temporal Graphs: A First-Principles Study
Jintang Li, Ruofan Wu, Xinzhou Jin et al.
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
Clémentine Chazal, Anna Korba, Francis Bach
Statistical-Computational Trade-offs for Density Estimation
Anders Aamand, Alexandr Andoni, Justin Y. Chen et al.
Statistical Efficiency of Distributional Temporal Difference Learning
Yang Peng, Liangyu Zhang, Zhihua Zhang
Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
Leo Zhou, Joao Basso, Song Mei
Statistical Multicriteria Benchmarking via the GSD-Front
Christoph Jansen, Georg Schollmeyer, Julian Rodemann et al.
Stealth edits to large language models
Oliver J. Sutton, Qinghua Zhou, Wei Wang et al.
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
Yi-Chung Chen, Zhi-Kai Huang, Jing-Ren Chen
Stepping Forward on the Last Mile
Chen Feng, Shaojie Zhuo, Xiaopeng Zhang et al.
Stepping on the Edge: Curvature Aware Learning Rate Tuners
Vincent Roulet, Atish Agarwala, Jean-Bastien Grill et al.
Stepwise Alignment for Constrained Language Model Policy Optimization
Akifumi Wachi, Thien Q. Tran, Rei Sato et al.
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
Jiawen Chen, Muqing Zhou, Wenrong Wu et al.
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
Isabelle Hurley, Rohan Paleja, Ashley Suh et al.
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
Ian Covert, Chanwoo Kim, Su-In Lee et al.
Stochastic Concept Bottleneck Models
Moritz Vandenhirtz, Sonia Laguna, Ričards Marcinkevičs et al.
Stochastic contextual bandits with graph feedback: from independence number to MAS number
Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
Jiseok Chae, Chulhee Yun, Donghwan Kim
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
Edward Milsom, Ben Anson, Laurence Aitchison