Papers
SCALEX: Scalable Concept and Latent Exploration for Diffusion Models
E. Zhixuan Zeng, Yuhao Chen, Alexander Wong
Scaling and Transferability of Annealing Strategies in Large Language Model Training
Siqi Wang, Zhengyu Chen, Teng Xiao et al.
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
Zelin Tan, Hejia Geng, Xiaohang Yu et al.
Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding
Sensen Gao, Shanshan Zhao, Xu Jiang et al.
Scaling Cultural Resources for Improving Generative Models
Hayk Stepanyan, Aishwarya Verma, Andrew Zaldivar et al.
Scaling Data-Constrained Language Models with Synthetic Data
Hirokazu Kiyomaru, Yusuke Oda, Takashi Kodama et al.
Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration
Zijun Liu, Zhennan Wan, Peng Li et al.
Scaling Intent Understanding: A Framework for Classification with Clarification using Lightweight LLMs
Subhadip Nandi, Tanishka Agarwal, Anshika Singh et al.
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
Xuanyu Chen, Nan Yang, Shuai Wang et al.
Scaling Law for Large Wireless Models
Ziheng Liu, Jiayi Zhang, Haoyu Wang et al.
Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning
YiFan Zhang, Tao Yu, Feng Li et al.
Scaling Laws for Code: A More Data-Hungry Regime
Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu et al.
Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation
Julian Spravil, Sebastian Houben, Sven Behnke
Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios
Luohe Shi, Zuchao Li, Lefei Zhang et al.
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
Tingchen Fu, Yafu Li, Jiawei Gu et al.
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models
Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran et al.
Scaling Towards the Information Boundary of Instructions through Data Synthesizing
Li Du, Hanyu Zhao, Yiming Ju et al.
Scaling Up AI Alignment
Aarti Singh
Scaling-up Perceptual Video Quality Assessment
Ziheng Jia, Zicheng Zhang, Xiaorong Zhu et al.
Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination
Ziqiang Shi, Rujie Liu, Shanshan Yu et al.
SCAN: Self-Calibrated AutoregressioN for High-Quality Visual Generation
Zhanzhou Feng, Qingpei Guo, Jingdong Chen et al.
SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation
Nobuhiro Ueda, Yuyang Dong, Krisztián Boros et al.