Summary of Rl on Incorrect Synthetic Data Scales the Efficiency Of Llm Math Reasoning by Eight-fold, By Amrith Setlur et al.
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Foldby Amrith…
Summary of Why Llms Are Bad at Synthetic Table Generation (and What to Do About It), by Shengzhe Xu et al.
Why LLMs Are Bad at Synthetic Table Generation (and what to do about it)by Shengzhe…
Summary of Physics-informed Neural Networks For Parameter Learning Of Wildfire Spreading, by Konstantinos Vogiatzoglou et al.
Physics-informed neural networks for parameter learning of wildfire spreadingby Konstantinos Vogiatzoglou, Costas Papadimitriou, Vasilis Bontozoglou,…
Summary of Fairx: a Comprehensive Benchmarking Tool For Model Analysis Using Fairness, Utility, and Explainability, by Md Fahim Sikder et al.
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainabilityby Md Fahim…
Summary of The Elusive Pursuit Of Reproducing Pate-gan: Benchmarking, Auditing, Debugging, by Georgi Ganev et al.
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debuggingby Georgi Ganev, Meenatchi Sundaram Muthu Selva…
Summary of Synthetic Context Generation For Question Generation, by Naiming Liu et al.
Synthetic Context Generation for Question Generationby Naiming Liu, Zichao Wang, Richard BaraniukFirst submitted to arxiv…
Summary of Data Plagiarism Index: Characterizing the Privacy Risk Of Data-copying in Tabular Generative Models, by Joshua Ward et al.
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Modelsby Joshua Ward,…
Summary of Advancing Retail Data Science: Comprehensive Evaluation Of Synthetic Data, by Yu Xia et al.
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Databy Yu Xia, Chi-Hua Wang, Joshua Mabry,…
Summary of Conditional Score-based Diffusion Models For Solving Inverse Problems in Mechanics, by Agnimitra Dasgupta and Harisankar Ramaswamy and Javier Murgoitio-esandi and Ken Foo and Runze Li and Qifa Zhou and Brendan Kennedy and Assad Oberai
Conditional score-based diffusion models for solving inverse problems in mechanicsby Agnimitra Dasgupta, Harisankar Ramaswamy, Javier…
Summary of In-context Learning Of Energy Functions, by Rylan Schaeffer et al.
In-Context Learning of Energy Functionsby Rylan Schaeffer, Mikail Khona, Sanmi KoyejoFirst submitted to arxiv on:…