Summary of Laissez-faire Harms: Algorithmic Biases in Generative Language Models, by Evan Shieh et al.
Laissez-Faire Harms: Algorithmic Biases in Generative Language Modelsby Evan Shieh, Faye-Marie Vassel, Cassidy Sugimoto, Thema…
Summary of Characterizing the Influence Of Topology on Graph Learning Tasks, by Kailong Wu et al.
Characterizing the Influence of Topology on Graph Learning Tasksby Kailong Wu, Yule Xie, Jiaxin Ding,…
Summary of Interactive Prompt Debugging with Sequence Salience, by Ian Tenney et al.
Interactive Prompt Debugging with Sequence Salienceby Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk…
Summary of A Mathematical Theory For Learning Semantic Languages by Abstract Learners, By Kuo-yu Liao et al.
A Mathematical Theory for Learning Semantic Languages by Abstract Learnersby Kuo-Yu Liao, Cheng-Shang Chang, Y.-W.…
Summary of Comparison Of Decision Trees with Local Interpretable Model-agnostic Explanations (lime) Technique and Multi-linear Regression For Explaining Support Vector Regression Model in Terms Of Root Mean Square Error (rmse) Values, by Amit Thombre
Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for…
Summary of Towards Learning Stochastic Population Models by Gradient Descent, By Justin N. Kreikemeyer et al.
Towards Learning Stochastic Population Models by Gradient Descentby Justin N. Kreikemeyer, Philipp Andelfinger, Adelinde M.…
Summary of Meta4xnli: a Crosslingual Parallel Corpus For Metaphor Detection and Interpretation, by Elisa Sanchez-bayona et al.
Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretationby Elisa Sanchez-Bayona, Rodrigo AgerriFirst submitted…
Summary of Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study, by Alessandro Stolfo
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Studyby Alessandro StolfoFirst submitted to arxiv on: 10…
Summary of Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?, by Mingyu Jin et al.
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?by Mingyu…
Summary of Latim: Longitudinal Representation Learning in Continuous-time Models to Predict Disease Progression, by Rachid Zeghlache et al.
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progressionby Rachid Zeghlache, Pierre-Henri Conze,…