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Found 5 papers, 2 papers with code
Towards Practical Tool Usage for Continually Learning LLMs
Large language models (LLMs) show an innate skill for solving language based tasks.
EpiK-Eval: Evaluation for Language Models as Epistemic Models
In the age of artificial intelligence, the role of large language models (LLMs) is becoming increasingly central.
Online Algorithms with Uncertainty-Quantified Predictions
In particular, we consider predictions augmented with uncertainty quantification describing the likelihood of the ground truth falling in a certain range, designing online algorithms with these probabilistic predictions for two classic online problems: ski rental and online search.
Promoting Exploration in Memory-Augmented Adam using Critical Momenta
Adaptive gradient-based optimizers, particularly Adam, have left their mark in training large-scale deep learning models.
Trust-ya: design of a multiplayer game for the study of small group processes
This paper introduces the game, relates it to status theory in social psychology, and shows some simple simulated and human experiments that demonstrate how the game can be used to study status processes and dynamics in human groups.
