Nick Haber

According to our database, Nick Haber authored at least 72 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Validating Generative Agent-Based Models of Social Norm Enforcement: From Replication to Novel Predictions.

Logan Matthew Cross, Nick Haber, Daniel L. K. Yamins

CoRR, July, 2025

Do Large Language Models Have a Planning Theory of Mind? Evidence from MindGames: a Multi-Step Persuasion Task.

Jared Moore, Ned Cooper, Rasmus Overmark, Beba Cibralic, Nick Haber, Cameron R. Jones

CoRR, July, 2025

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds.

Fan-Yun Sun, Shengguang Wu, Christian Jacobsen, Thomas Yim, Haoming Zou, Alex Zook, Shangru Li, Yu-Hsin Chou, Ethem Can, Xunlei Wu, Clemens Eppner, Valts Blukis, Jonathan Tremblay, Jiajun Wu, Stan Birchfield, Nick Haber

CoRR, July, 2025

LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing.

Daniel Fein, Sebastian Russo, Violet Xiang, Kabir Jolly, Rafael Rafailov, Nick Haber

CoRR, July, 2025

CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Video.

Wengxi Li, Roy Pea, Nick Haber, Hari Subramonyam

CoRR, June, 2025

From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review.

Yaohui Zhang, Haijing Zhang, Wenlong Ji, Tianyu Hua, Nick Haber, Hancheng Cao, Weixin Liang

CoRR, June, 2025

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration.

Quan Shi, Carlos E. Jimenez, Shunyu Yao, Nick Haber, Diyi Yang, Karthik Narasimhan

CoRR, June, 2025

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning.

Violet Xiang, Chase Blagden, Rafael Rafailov, Nathan Lile, Sang T. Truong, Chelsea Finn, Nick Haber

CoRR, June, 2025

ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code.

Tianyu Hua, Harper Hua, Violet Xiang, Benjamin Klieger, Sang T. Truong, Weixin Liang, Fan-Yun Sun, Nick Haber

CoRR, June, 2025

Prediction of Item Difficulty for Reading Comprehension Items by Creation of Annotated Item Repository.

Radhika Kapoor, Sang T. Truong, Nick Haber, Maria Araceli Ruiz-Primo, Benjamin W. Domingue

CoRR, February, 2025

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models.

Alon Albalak, Duy Phung, Nathan Lile, Rafael Rafailov, Kanishk Gandhi, Louis Castricato, Anikait Singh, Chase Blagden, Violet Xiang, Dakota Mahan, Nick Haber

CoRR, February, 2025

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

Violet Xiang, Charlie Snell, Kanishk Gandhi, Alon Albalak, Anikait Singh, Chase Blagden, Duy Phung, Rafael Rafailov, Nathan Lile, Dakota Mahan, Louis Castricato, Jan-Philipp Fränken, Nick Haber, Chelsea Finn

CoRR, January, 2025

Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models.

Logan Cross, Violet Xiang, Agam Bhatia, Daniel L. K. Yamins, Nick Haber

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers.

Jared Moore, Declan Grabb, William Agnew, Kevin Klyman, Stevie Chancellor, Desmond C. Ong, Nick Haber

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Scaffold or Crutch? Examining College Students' Use and Views of Generative AI Tools for STEM Education.

Karen D. Wang, Zhangyang Wu, L'Nard Tufts II, Carl E. Wieman, Shima Salehi, Nick Haber

Proceedings of the IEEE Global Engineering Education Conference, 2025

LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models.

Fan-Yun Sun, Weiyu Liu, Siyi Gu, Dylan Lim, Goutam Bhat, Federico Tombari, Manling Li, Nick Haber, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs.

Merve Cerit, Eric Zelikman, Mu Jung Cho, Thomas N. Robinson, Byron Reeves, Nilam Ram, Nick Haber

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Videos.

Wengxi Li, Roy Pea, Nick Haber, Hariharan Subramonyam

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images.

Shengguang Wu, Fan-Yun Sun, Kaiyue Wen, Nick Haber

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams.

Benjamin Klieger, Charis Charitsis, Miroslav Suzara, Sierra Wang, Nick Haber, John C. Mitchell

CoRR, 2024

Building a Domain-specific Guardrail Model in Production.

Mohammad Niknazar, Paul V. Haley, Latha Ramanan, Sang T. Truong, Yedendra Shrinivasan, Ayan Kumar Bhowmick, Prasenjit Dey, Ashish Jagmohan, Hema Maheshwari, Shom Ponoth, Robert Smith, Aditya Vempaty, Nick Haber, Sanmi Koyejo, Sharad Sundararajan

CoRR, 2024

Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs.

Wengxi Li, Roy Pea, Nick Haber, Hariharan Subramonyam

CoRR, 2024

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

Eric Zelikman, Georges Harik, Yijia Shao, Varuna Jayasiri, Nick Haber, Noah D. Goodman

CoRR, 2024

Math IDE: A Platform for Creating with Math.

Sierra Wang, John C. Mitchell, Nick Haber, Chris Piech

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

FactorSim: Generative Simulation via Factorized Representation.

Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Cross, Jiajun Wu, Nick Haber

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Formal Mathematics From Intrinsic Motivation.

Gabriel Poesia, David Broman, Nick Haber, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Policy-shaped prediction: avoiding distractions in model-based reinforcement learning.

Miles Hutson, Isaac Kauvar, Nick Haber

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Discovering Players' Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining.

Karen D. Wang, Haoyu Liu, David DeLiema, Nick Haber, Shima Salehi

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Hypothesis Search: Inductive Reasoning with Language Models.

Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ContextRef: Evaluating Referenceless Metrics for Image Description Generation.

Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Holodeck: Language Guided Generation of 3D Embodied AI Environments.

Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Partial-View Object View Synthesis via Filtering Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

Proceedings of the International Conference on 3D Vision, 2024

2023

From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning.

Violet Xiang, Logan Cross, Jan-Philipp Fränken, Nick Haber

CoRR, 2023

Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving.

Karen D. Wang, Eric Burkholder, Carl E. Wieman, Shima Salehi, Nick Haber

CoRR, 2023

Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness.

Eric Zelikman, Qian Huang, Percy Liang, Nick Haber, Noah D. Goodman

CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

CoRR, 2023

Parsel🦆: Algorithmic Reasoning with Language Models by Composing Decompositions.

Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tingets 2.0: Computer Vision-Powered Interactive Social and Emotional Learning Tool.

Merve Cerit, Daniela Vainer, Nick Haber

Proceedings of the 2023 Symposium on Learning, Design and Technology, 2023

Curious Replay for Model-based Adaptation.

Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber

Proceedings of the International Conference on Machine Learning, 2023

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, Diyi Yang, Jason D. Yeatman, Nick Haber

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data.

Haoyu Liu, Fan-Yun Sun, Frieda Rong, Kumiko Nakajima, Nicholas Haber, Shima Salehi

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Measuring and Modeling Physical Intrinsic Motivation.

Julio Martinez, Felix Jedidja Binder, Haoliang Wang, Nick Haber, Judith E. Fan, Daniel Yamins

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Developmental Curiosity and Social Interaction in Virtual Agents.

Chris Doyle, Sarah Shader, Michelle Lau, Megumi Sano, Daniel L. K. Yamins, Nick Haber

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Parsel: A Unified Natural Language Framework for Algorithmic Reasoning.

Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber

CoRR, 2022

Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images.

Peter Washington, Onur Cezmi Mutlu, Aaron Kline, Kelley M. Paskov, Nate Tyler Stockham, Brianna Sierra Chrisman, Nick Deveaux, Mourya Surhabi, Nick Haber, Dennis P. Wall

CoRR, 2022

Interaction Modeling with Multiplex Attention.

Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Measuring social curiosity-driven attentional differences in children with autism using an augmented reality-based phone app.

Samaher Radwan, Aaron Kline, Alejandro Galindo, Michael C. Frank, Dennis P. Wall, Nick Haber

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels.

Peter Washington, Onur Cezmi Mutlu, Émilie Leblanc, Aaron Kline, Cathy Hou, Brianna Sierra Chrisman, Nate Tyler Stockham, Kelley M. Paskov, Catalin Voss, Nick Haber, Dennis P. Wall

CoRR, 2021

Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels.

Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley Marie Paskov, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall

Cogn. Comput., 2021

Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder.

Peter Washington, Émilie Leblanc, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Jae-Yoon Jung, Brianna Sierra Chrisman, Min Woo Sun, Nate Tyler Stockham, Kelley Marie Paskov, Haik Kalantarian, Catalin Voss, Nick Haber, Dennis P. Wall

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.

Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall

CoRR, 2020

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins

CoRR, 2020

A Wearable Social Interaction Aid for Children with Autism.

Nick Haber, Catalin Voss, Jena Daniels, Peter Washington, Azar Fazel, Aaron Kline, Titas De, Terry Winograd, Carl Feinstein, Dennis P. Wall

CoRR, 2020

Designing a Holistic At-Home Learning Aid for Autism.

Catalin Voss, Nick Haber, Peter Washington, Aaron Kline, Beth McCarthy, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, Dennis P. Wall

CoRR, 2020

Feature Selection and Dimension Reduction of Social Autism Data.

Peter Washington, Kelley Marie Paskov, Haik Kalantarian, Nate Tyler Stockham, Catalin Voss, Aaron Kline, Ritik Patnaik, Brianna Sierra Chrisman, Maya Varma, Qandeel Tariq, Kaitlyn Dunlap, Jessey N. Schwartz, Nick Haber, Dennis P. Wall

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Active World Model Learning with Progress Curiosity.

Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning in Social Environments with Curious Neural Agents.

Megumi Sano, Julian De Freitas, Nick Haber, Daniel L. K. Yamins

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Superpower Glass.

Aaron Kline, Catalin Voss, Peter Washington, Nick Haber, Jessey N. Schwartz, Qandeel Tariq, Terry Winograd, Carl Feinstein, Dennis P. Wall

GetMobile Mob. Comput. Commun., 2019

Guess What?

Haik Kalantarian, Peter Washington, Jessey N. Schwartz, Jena Daniels, Nick Haber, Dennis P. Wall

J. Heal. Informatics Res., 2019

2018

Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism.

Jena Daniels, Jessey N. Schwartz, Catalin Voss, Nick Haber, Azar Fazel, Aaron Kline, Peter Washington, Carl Feinstein, Terry Winograd, Dennis P. Wall

npj Digit. Medicine, 2018

Learning to Play with Intrinsically-Motivated Self-Aware Agents.

Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins

CoRR, 2018

Feasibility Testing of a Wearable Behavioral Aid for Social Learning in Children with Autism.

Jena Daniels, Nick Haber, Catalin Voss, Jessey N. Schwartz, Serena Tamura, Azar Fazel, Aaron Kline, Peter Washington, Jennifer Phillips, Terry Winograd, Carl Feinstein, Dennis P. Wall

Appl. Clin. Inform., 2018

Flexible neural representation for physics prediction.

Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Josh Tenenbaum, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Play With Intrinsically-Motivated, Self-Aware Agents.

Nick Haber, Damian Mrowca, Stephanie Wang, Li Fei-Fei, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Gamified Mobile System for Crowdsourcing Video for Autism Research.

Haik Kalantarian, Peter Washington, Jessey N. Schwartz, Jena Daniels, Nick Haber, Dennis P. Wall

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation.

Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

SuperpowerGlass: A Wearable Aid for the At-Home Therapy of Children with Autism.

Peter Washington, Catalin Voss, Aaron Kline, Nick Haber, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, Dennis P. Wall

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

2016

A practical approach to real-time neutral feature subtraction for facial expression recognition.

Nick Haber, Catalin Voss, Azar Fazel, Terry Winograd, Dennis P. Wall

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Superpower glass: delivering unobtrusive real-time social cues in wearable systems.

Catalin Voss, Peter Washington, Nick Haber, Aaron Kline, Jena Daniels, Azar Fazel, Titas De, Beth McCarthy, Carl Feinstein, Terry Winograd, Dennis P. Wall

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

A Wearable Social Interaction Aid for Children with Autism.

Peter Washington, Catalin Voss, Nick Haber, Serena Tanaka, Jena Daniels, Carl Feinstein, Terry Winograd, Dennis P. Wall

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Invited Talks at the AAAI Symposium on Well-Being Computing.

Rafael A. Calvo, Nick Haber, Catalin Voss, Michael Nova, Dennis Salins, Michael Snyder, Dennis P. Wall

Proceedings of the 2016 AAAI Spring Symposia, 2016