3 citations · 3 across the 4 of their papers we have counts for
4 papers
Subliminal Learning Is Steering Vector Distillation
Camila Blank, Agam Bhatia, Senthooran Rajamanoharan +2
Subliminal learning refers to a student language model acquiring a teacher's traits (e.g. a system-prompted preference for owls) when fine-tuned on the teacher's outputs, despite t…
Learning to Simulate Human Dialogue
Kanishk Gandhi, Agam Bhatia, Noah D. Goodman
To predict what someone will say is to model how they think. We study this through next-turn dialogue prediction: given a conversation, predict the next utterance produced by a per…
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models
Logan Cross, Violet Xiang, Agam Bhatia +2
Multi-agent reinforcement learning (MARL) methods struggle with the non-stationarity of multi-agent systems and fail to adaptively learn online when tested with novel agents. Here,…
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation
Jirayu Burapacheep, Ishan Gaur, Agam Bhatia +1
This paper introduces the ColorSwap dataset, designed to assess and improve the proficiency of multimodal models in matching objects with their colors. The dataset is comprised of…