Dan Jurafsky

Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity

From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning

ELEPHANT: Measuring and understanding social sycophancy in LLMs

CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition

Turning Speech Language Models into Multilingual Listeners

Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations

Mechanistic evaluation of Transformers and state space models

AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders

Humans overrely on overconfident language models, across languages

h4rm3l: A Language for Composable Jailbreak Attack Synthesis

Bayesian scaling laws for in-context learning

Bayesian scaling laws for in-context learning

What can large language models do for sustainable food?