Papers
SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination
Sangha Park, Seungryong Yoo, Jisoo Mok et al.
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
Clea Chataigner, Rebecca Ma, Prakhar Ganesh et al.
Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding
Rui-Chen Zheng, Wenrui Liu, Hui-Peng Du et al.
Says Who? Argument Convincingness and Reader Stance Are Correlated with Perceived Author Personality
Sabine Weber, Lynn Greschner, Roman Klinger
SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs
Prateek Chaturvedi, Yuqicheng Zhu, Hongkuan Zhou et al.
Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization
Zeel B Patel, Vinayak Rana, Nipun Batra
Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
Pranjal Gupta, Karan Bhukar, Harshit Kumar et al.
Scalable Detection of Undiagnosed ILD in Population Screening: A Multi-Cohort Study using 3D Foundation Models
Niccolò McConnell, Mehran Azimbagirad, Daryl O. Cheng et al.
Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition
Shuli Zeng, Sijia Zhang, Feng Wu et al.
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.