14 citations · 28 across the 6 of their papers we have counts for
6 papers
Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs
Merve Cerit, Eric Zelikman, Mu-Jung Cho +4
As digital media use continues to evolve and influence various aspects of life, developing flexible and scalable tools to study complex media experiences is essential. This study i…
Learning Formal Mathematics From Intrinsic Motivation
Gabriel Poesia, David Broman, Nick Haber +1
How did humanity coax mathematics from the aether? We explore the Platonic view that mathematics can be discovered from its axioms - a game of conjecture and proof. We describe Min…
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Eric Zelikman, Georges Harik, Yijia Shao +3
When writing and talking, people sometimes pause to think. Although reasoning-focused works have often framed reasoning as a method of answering questions or completing agentic tas…
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency
Eric Zelikman, Wanjing Anya Ma, Jasmine E. Tran +3
Developing an educational test can be expensive and time-consuming, as each item must be written by experts and then evaluated by collecting hundreds of student responses. Moreover…
ContextRef: Evaluating Referenceless Metrics For Image Description Generation
Elisa Kreiss, Eric Zelikman, Christopher Potts +1
Referenceless metrics (e.g., CLIPScore) use pretrained vision--language models to assess image descriptions directly without costly ground-truth reference texts. Such methods can f…
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang, Eric Zelikman, Gabriel Poesia +3
Inductive reasoning is a core problem-solving capacity: humans can identify underlying principles from a few examples, which robustly generalize to novel scenarios. Recent work eva…