Papers
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
Zhenshuo Zhang, Minxuan Duan, Youran Ye et al.
Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks
Linlin Ding, Zhaosong Zhao, Mo Li et al.
Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics
Yang You, Alex Schutz, Zhikun Li et al.
Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint)
Yujie Yang, Hanjiang Hu, Tianhao Wei et al.
Scalable Video Action Anticipation with Cross Linear Attentive Memory
Zeyun Zhong, Manuel Martin, David Schneider et al.
Scalable Vision-Guided Crop Yield Estimation
Harrison H Li, Medhanie Irgau, Nabil Janmohamed et al.
SCALAR: Scale-wise Controllable Visual Autoregressive Learning
Ryan Xu, Dongyang Jin, Yancheng Bai et al.
SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning
Renxi Wang, Honglin Mu, Liqun Ma et al.
ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models
Jiasheng Zheng, Xin Zheng, Boxi Cao et al.
Scale Is All You Need: Analyzing Modality Interaction and Speaker Intent Without Fine-Tuning
Animesh Gurjar, Nikhil Krishnaswamy
Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing
Suyu Liu, Zhiguang Cao, Nan Yin et al.
Scale Regularization for Stable Low-Rank Adaptation
Tan Xeng Ian
SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling
Yang Xiao, Chunpu Xu, Ruifeng Yuan et al.
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.