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Found 6 papers, 0 papers with code
A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health
In this paper, we propose a novel framework for evaluating the nuanced conversation abilities of LLMs.
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
However, existing theoretical studies on how this phenomenon arises are limited to the dynamics of a single layer of attention trained on linear regression tasks.
$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
In this paper, we explore the use of heavy-tailed models to combat over-regularization.
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
In this paper, we extend mean-field Langevin dynamics to minimax optimization over probability distributions for the first time with symmetric and provably convergent updates.
Hessian Based Smoothing Splines for Manifold Learning
We propose a multidimensional smoothing spline algorithm in the context of manifold learning.
Predicting the Popularity of Reddit Posts with AI
Social media creates crucial mass changes, as popular posts and opinions cast a significant influence on users' decisions and thought processes.
