Summary of Llms May Not Be Human-level Players, but They Can Be Testers: Measuring Game Difficulty with Llm Agents, by Chang Xiao et al.
LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with…
LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with…
Skill Issues: An Analysis of CS:GO Skill Rating Systemsby Mikel Bober-Irizar, Naunidh Dua, Max McGuinnessFirst…
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimizationby Francisco Daunas, IƱaki…
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transportby Abigail Langbridge, Anthony Quinn, Robert…
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Seriesby Luca Castri, Sariah Mghames, Marc…
Neural DDEs with Learnable Delays for Partially Observed Dynamical Systemsby Thibault Monsel, Emmanuel Menier, Onofrio…
The Role of Deductive and Inductive Reasoning in Large Language Modelsby Chengkun Cai, Xu Zhao,…
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradientsby Minh Duong Nguyen, Khanh…
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocationby Xianzhi Li, Ran Zmigrod, Zhiqiang…
Comparison of Autoencoder Encodings for ECG Representation in Downstream Prediction Tasksby Christopher J. Harvey, Sumaiya…