Fernanda Viégas

Why Can't Transformers Learn Multiplication? Reverse-Engineering Implicit Chain-of-Thought Reveals Challenges of Learning Long-Range Dependencies

The Geometry of Self-Verification in a Task-Specific Reasoning Model

Shared Global and Local Geometry of Language Model Embeddings

Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner

When Bad Data Leads to Good Models

What Does it Mean for a Neural Network to Learn a "World Model"?