Summary of Improving Academic Skills Assessment with Nlp and Ensemble Learning, by Xinyi Huang et al.
Improving Academic Skills Assessment with NLP and Ensemble Learningby Xinyi Huang, Yingyi Wu, Danyang Zhang,…
Summary of Watch Your Steps: Observable and Modular Chains Of Thought, by Cassandra A. Cohen and William W. Cohen
Watch Your Steps: Observable and Modular Chains of Thoughtby Cassandra A. Cohen, William W. CohenFirst…
Summary of How Does Code Pretraining Affect Language Model Task Performance?, by Jackson Petty et al.
How Does Code Pretraining Affect Language Model Task Performance?by Jackson Petty, Sjoerd van Steenkiste, Tal…
Summary of Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation, By Md Fahim Sikder et al.
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representationby Md Fahim Sikder, Resmi…
Summary of Lolgorithm: Integrating Semantic,syntactic and Contextual Elements For Humor Classification, by Tanisha Khurana et al.
LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classificationby Tanisha Khurana, Kaushik Pillalamarri, Vikram Pande,…
Summary of Computational Music Analysis From First Principles, by Dmitri Tymoczko and Mark Newman
Computational music analysis from first principlesby Dmitri Tymoczko, Mark NewmanFirst submitted to arxiv on: 30…
Summary of Appl: a Prompt Programming Language For Harmonious Integration Of Programs and Large Language Model Prompts, by Honghua Dong et al.
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Promptsby…
Summary of Analysing the Behaviour Of Tree-based Neural Networks in Regression Tasks, by Peter Samoaa et al.
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasksby Peter Samoaa, Mehrdad Farahani, Antonio…
Summary of Textgrad: Automatic “differentiation” Via Text, by Mert Yuksekgonul et al.
TextGrad: Automatic “Differentiation” via Textby Mert Yuksekgonul, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang,…
Summary of What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions, by Liyi Zhang et al.
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributionsby Liyi Zhang, Michael Y. Li,…