A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarkingby Jun Zhang, Wenxuan Ao, Junbo Yan,…
GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDARby Bharat Singh, Viveka…
Task Facet Learning: A Structured Approach to Prompt Optimizationby Gurusha Juneja, Nagarajan Natarajan, Hua Li,…
Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradientby Yuan Gao, Zujing…
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecastingby Romain Ilbert,…
Learning Temporal Logic Predicates from Data with Statistical Guaranteesby Emi Soroka, Rohan Sinha, Sanjay LallFirst…
Flextron: Many-in-One Flexible Large Language Modelby Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang…
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problemby Zhentao Tan, Yadong MuFirst submitted to…
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Modelby Siemen Herremans, Ali Anwar, Siegfried MercelisFirst…
When Will Gradient Regularization Be Harmful?by Yang Zhao, Hao Zhang, Xiuyuan HuFirst submitted to arxiv…