activity
20222024
most citedHow Language Model Hallucinations Can Snowball

73 citations · 97 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024

Learning to Build by Building Your Own Instructions

Aaron Walsman, Muru Zhang, Adam Fishman +2

Structural understanding of complex visual objects is an important unsolved component of artificial intelligence. To study this, we develop a new technique for the recently propose…

cs.RO2023

STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots

Yi Li, Muru Zhang, Markus Grotz +2

Segmentation and tracking of unseen object instances in discrete frames pose a significant challenge in dynamic industrial robotic contexts, such as distribution warehouses. Here,…

cs.CL2023★ 73 cited

How Language Model Hallucinations Can Snowball

Muru Zhang, Ofir Press, William Merrill +2

A major risk of using language models in practical applications is their tendency to hallucinate incorrect statements. Hallucinations are often attributed to knowledge gaps in LMs,…

cs.CL2022★ 24 cited

Measuring and Narrowing the Compositionality Gap in Language Models

Ofir Press, Muru Zhang, Sewon Min +3

We investigate the ability of language models to perform compositional reasoning tasks where the overall solution depends on correctly composing the answers to sub-problems. We mea…

cs.CV2022

Break and Make: Interactive Structural Understanding Using LEGO Bricks

Aaron Walsman, Muru Zhang, Klemen Kotar +3

Visual understanding of geometric structures with complex spatial relationships is a fundamental component of human intelligence. As children, we learn how to reason about structur…