2 citations · 2 across the 13 of their papers we have counts for
5 papers · 1 filter
Decomposing Theory of Mind: How Emotional Processing Mediates ToM Abilities in LLMs
Ivan Chulo, Ananya Joshi
Recent work shows activation steering substantially improves language models' Theory of Mind (ToM) (Bortoletto et al. 2024), yet the mechanisms of what changes occur internally tha…
Predicting Language Models' Success at Zero-Shot Probabilistic Prediction
Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño +7
Recent work has investigated the capabilities of large language models (LLMs) as zero-shot models for generating individual-level characteristics (e.g., to serve as risk models or…
Calibrating Lightweight Sparse Autoencoder Feature Steering
Ananya Joshi, Celia Cintas, Skyler Speakman
Sparse autoencoders (SAEs) can enable inference-time topic steering by modifying latent feature activations, but existing steering methods often fail when target-aligned features a…
Inhibiting Alzheimer's Disease by Targeting Aggregation of Beta-Amyloid
Ananya Joshi, George Khoury, Christodoulas Floudas
Alzheimer's disease is characterized by dangerous amyloid plaques formed by deposits of the protein Beta-Amyloid aggregates in the brain. The specific amino acid sequence that is r…
An AI-Based Public Health Data Monitoring System
Ananya Joshi, Nolan Gormley, Richa Gadgil +3
Public health experts need scalable approaches to monitor large volumes of health data (e.g., cases, hospitalizations, deaths) for outbreaks or data quality issues. Traditional ale…