5 citations · 10 across the 13 of their papers we have counts for
7 papers · 1 filter
CriticAL: Critic Automation with Language Models
Michael Y. Li, Vivek Vajipey, Noah D. Goodman +1
Understanding the world through models is a fundamental goal of scientific research. While large language model (LLM) based approaches show promise in automating scientific discove…
Human-like Affective Cognition in Foundation Models
Kanishk Gandhi, Zoe Lynch, Jan-Philipp Fränken +5
Understanding emotions is fundamental to human interaction and experience. Humans easily infer emotions from situations or facial expressions, situations from emotions, and do a va…
Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models
Joy He-Yueya, Wanjing Anya Ma, Kanishk Gandhi +3
Language models (LMs) are increasingly used to simulate human-like responses in scenarios where accurately mimicking a population's behavior can guide decision-making, such as in d…
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
Jan-Philipp Fränken, Eric Zelikman, Rafael Rafailov +3
When prompting a language model (LM), users often expect the model to adhere to a set of behavioral principles across diverse tasks, such as producing insightful content while avoi…
Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language Models
Jan-Philipp Fränken, Kanishk Gandhi, Tori Qiu +3
As AI systems like language models are increasingly integrated into decision-making processes affecting people's lives, it's critical to ensure that these systems have sound moral…
STaR-GATE: Teaching Language Models to Ask Clarifying Questions
Chinmaya Andukuri, Jan-Philipp Fränken, Tobias Gerstenberg +1
When prompting language models to complete a task, users often leave important aspects unsaid. While asking questions could resolve this ambiguity (GATE; Li et al., 2023), models o…
Evaluating and Optimizing Educational Content with Large Language Model Judgments
Joy He-Yueya, Noah D. Goodman, Emma Brunskill
Creating effective educational materials generally requires expensive and time-consuming studies of student learning outcomes. To overcome this barrier, one idea is to build comput…