activity
20212026
most citedOn the Opportunities and Risks of Foundation Models

2.3k citations · 2.3k across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2026

EducaSim: Interactive Simulacra for CS1 Instructional Practice

Cameron Mohne, Nicholas Vo, Dora Demszky +1

Role play is a high-impact mode of training that has demonstrated its effectiveness in improving learning outcomes. However, it is difficult to scale to teacher instruction due to…

cs.CL2025★ 2 cited

Educator Attention: How computational tools can systematically identify the distribution of a key resource for students

Qingyang Zhang, Rose E. Wang, Ana T. Ribeiro +2

Educator attention is critical for student success, yet how educators distribute their attention across students remains poorly understood due to data and methodological constraint…

cs.CL2024★ 6 cited

Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise

Rose E. Wang, Ana T. Ribeiro, Carly D. Robinson +2

Generative AI, particularly Language Models (LMs), has the potential to transform real-world domains with societal impact, particularly where access to experts is limited. For exam…

cs.RO2022★ 5 cited

Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding

William Chen, Siyi Hu, Rajat Talak +1

Abstract semantic 3D scene understanding is a problem of critical importance in robotics. As robots still lack the common-sense knowledge about household objects and locations of a…

cs.LG2021★ 2.3k cited

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +111

AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.…