Summary of Can Large Language Models Reason and Plan?, by Subbarao Kambhampati
Can Large Language Models Reason and Plan?by Subbarao KambhampatiFirst submitted to arxiv on: 7 Mar…
Can Large Language Models Reason and Plan?by Subbarao KambhampatiFirst submitted to arxiv on: 7 Mar…
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learningby Hong Lin,…
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Processby Xiangxin Zhou, Liang…
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NASby Yameng Peng, Andy Song, Haytham M. Fayek, Vic…
RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecastingby Tianfeng Wang, Gaojie CuiFirst submitted…
Generative AI for Synthetic Data Generation: Methods, Challenges and the Futureby Xu Guo, Yiqiang ChenFirst…
Fill-and-Spill: Deep Reinforcement Learning Policy Gradient Methods for Reservoir Operation Decision and Controlby Sadegh Sadeghi…
Noisy Spiking Actor Network for Explorationby Ding Chen, Peixi Peng, Tiejun Huang, Yonghong TianFirst submitted…
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Modelsby Tolga Dimlioglu, Anna ChoromanskaFirst…
Why Online Reinforcement Learning is Causalby Oliver Schulte, Pascal PoupartFirst submitted to arxiv on: 7…