Summary of Mapping Out the Space Of Human Feedback For Reinforcement Learning: a Conceptual Framework, by Yannick Metz et al.
Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Frameworkby Yannick Metz,…
Summary of Llm-ie: a Python Package For Generative Information Extraction with Large Language Models, by Enshuo Hsu et al.
LLM-IE: A Python Package for Generative Information Extraction with Large Language Modelsby Enshuo Hsu, Kirk…
Summary of A Potential Game Perspective in Federated Learning, by Kang Liu et al.
A Potential Game Perspective in Federated Learningby Kang Liu, Ziqi Wang, Enrique ZuazuaFirst submitted to…
Summary of Rethinking Thinking Tokens: Understanding Why They Underperform in Practice, by Sreeram Vennam et al.
Rethinking Thinking Tokens: Understanding Why They Underperform in Practiceby Sreeram Vennam, David Valente, David Herel,…
Summary of The Dark Side Of Trust: Authority Citation-driven Jailbreak Attacks on Large Language Models, by Xikang Yang et al.
The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language Modelsby Xikang Yang,…
Summary of Ikea Manuals at Work: 4d Grounding Of Assembly Instructions on Internet Videos, by Yunong Liu et al.
IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videosby Yunong Liu, Cristobal…
Summary of Temporal and Spatial Reservoir Ensembling Techniques For Liquid State Machines, by Anmol Biswas et al.
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machinesby Anmol Biswas, Sharvari Ashok Medhe,…
Summary of Implicit Regularization For Multi-label Feature Selection, by Dou El Kefel Mansouri and Khalid Benabdeslem and Seif-eddine Benkabou
Implicit Regularization for Multi-label Feature Selectionby Dou El Kefel Mansouri, Khalid Benabdeslem, Seif-Eddine BenkabouFirst submitted…
Summary of Unveiling the Inflexibility Of Adaptive Embedding in Traffic Forecasting, by Hongjun Wang et al.
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecastingby Hongjun Wang, Jiyuan Chen, Lingyu Zhang,…
Summary of Upside-down Reinforcement Learning For More Interpretable Optimal Control, by Juan Cardenas-cartagena et al.
Upside-Down Reinforcement Learning for More Interpretable Optimal Controlby Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich, Matthia…