Katie Collins

According to our database, Katie Collins authored at least 62 papers between 2020 and 2026.

Collaborative distances:

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2026

Cognitive offloading and the speedup illusion in human-AI interaction.

Sunny Yu, Myra Cheng, Ahmad Jabbar, Ilia Sucholutsky, Katherine M. Collins, Dan Jurafsky, Robert D. Hawkins

CoRR, May, 2026

The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks.

Sunny Yu, Myra Cheng, Ahmad Jabbar, Ilia Sucholutsky, Katherine M. Collins, Dan Jurafsky, Robert D. Hawkins

CoRR, May, 2026

Medical Model Synthesis Architectures: A Case Study.

Katherine M. Collins, Marlene Berke, Ilia Sucholutsky, Ayman Ali, Adrian Weller, Timothy J. O'Donnell, Tyler Brooke-Wilson, Lionel Wong, Joshua B. Tenenbaum

CoRR, May, 2026

Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs.

Elizabeth Mieczkowski, Alexander Ku, Tiwalayo Eisape, Dilip Arumugam, John Matters, Katherine M. Collins, Ilia Sucholutsky, Thomas L. Griffiths

CoRR, May, 2026

Language Model Teams as Distributed Systems.

Elizabeth Mieczkowski, Katherine M. Collins, Ilia Sucholutsky, Natalia Vélez, Thomas L. Griffiths

CoRR, March, 2026

Under the Influence: Quantifying Persuasion and Vigilance in Large Language Models.

Sasha Robinson, Kerem Oktar, Katherine M. Collins, Ilia Sucholutsky, Kelsey R. Allen

CoRR, February, 2026

AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games.

Lance Ying, Ryan Truong, Prafull Sharma, Kaiya Ivy Zhao, Nathan Cloos, Kelsey R. Allen, Thomas L. Griffiths, Katherine M. Collins, José Hernández-Orallo, Phillip Isola, Samuel J. Gershman, Joshua B. Tenenbaum

CoRR, February, 2026

Why Human Guidance Matters in Collaborative Vibe Coding.

Haoyu Hu, Raja Marjieh, Katherine M. Collins, Chenyi Li, Thomas L. Griffiths, Ilia Sucholutsky, Nori Jacoby

CoRR, February, 2026

Human-AI Synergy Supports Collective Creative Search.

Chenyi Li, Raja Marjieh, Haoyu Hu, Mark Steyvers, Katherine M. Collins, Ilia Sucholutsky, Nori Jacoby

CoRR, February, 2026

How do people watch AI-generated videos of physical scenes?

Danqing Shi, Lan Jiang, Katherine M. Collins, Shangzhe Wu, Ayush Tewari, Miri Zilka

CoRR, February, 2026

2025

A Matter of Interest: Understanding Interestingness of Math Problems in Humans and Language Models.

Shubhra Mishra, Yuka Machino, Gabriel Poesia, Albert Q. Jiang, Joy Hsu, Adrian Weller, Challenger Mishra, David Broman, Joshua B. Tenenbaum, Mateja Jamnik, Cedegao E. Zhang, Katherine M. Collins

CoRR, November, 2025

People use fast, flat goal-directed simulation to reason about novel problems.

Katherine M. Collins, Cedegao E. Zhang, Lionel Wong, Mauricio Barba da Costa, Graham Todd, Adrian Weller, Samuel J. Cheyette, Thomas L. Griffiths, Joshua B. Tenenbaum

CoRR, October, 2025

Evaluating Language Models' Evaluations of Games.

Katherine M. Collins, Cedegao E. Zhang, Graham Todd, Lance Ying, Mauricio Barba da Costa, Ryan Liu, Prafull Sharma, Adrian Weller, Ionatan Kuperwajs, Lionel Wong, Joshua B. Tenenbaum, Thomas L. Griffiths

CoRR, October, 2025

Using LLMs to advance the cognitive science of collectives.

Ilia Sucholutsky, Katherine M. Collins, Nori Jacoby, Bill D. Thompson, Robert D. Hawkins

Nat. Comput. Sci., September, 2025

Measuring and mitigating overreliance is necessary for building human-compatible AI.

Lujain Ibrahim, Katherine M. Collins, Sunnie S. Y. Kim, Anka Reuel, Max Lamparth, Kevin Feng, Lama Ahmad, Prajna Soni, Alia El Kattan, Merlin Stein, Siddharth Swaroop, Ilia Sucholutsky, Andrew Strait, Q. Vera Liao, Umang Bhatt

CoRR, September, 2025

Documenting Deployment with Fabric: A Repository of Real-World AI Governance.

Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers, Umang Bhatt

CoRR, August, 2025

Assessing Adaptive World Models in Machines with Novel Games.

Lance Ying, Katherine M. Collins, Prafull Sharma, Cédric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob Andreas, Thomas L. Griffiths, François Chollet, Kelsey R. Allen, Joshua B. Tenenbaum

CoRR, July, 2025

Identifying, Evaluating, and Mitigating Risks of AI Thought Partnerships.

Kerem Oktar, Katherine M. Collins, José Hernández-Orallo, Diane Coyle, Stephen Cave, Adrian Weller, Ilia Sucholutsky

CoRR, May, 2025

When Should We Orchestrate Multiple Agents?

Umang Bhatt, Sanyam Kapoor, Mihir Upadhyay, Ilia Sucholutsky, Francesco Quinzan, Katherine M. Collins, Adrian Weller, Andrew Gordon Wilson, Muhammad Bilal Zafar

CoRR, March, 2025

General Scales Unlock AI Evaluation with Explanatory and Predictive Power.

Lexin Zhou, Lorenzo Pacchiardi, Fernando Martínez-Plumed, Katherine M. Collins, Yael Moros-Daval, Seraphina Zhang, Qinlin Zhao, Yitian Huang, Luning Sun, Jonathan E. Prunty, Zongqian Li, Pablo Sánchez-García, Kexin Jiang Chen, Pablo A. M. Casares, Jiyun Zu, John Burden, Behzad Mehrbakhsh, David Stillwell, Manuel Cebrián, Jindong Wang, Peter Henderson, Sherry Tongshuang Wu, Patrick C. Kyllonen, Lucy Cheke, Xing Xie, José Hernández-Orallo

CoRR, March, 2025

On Benchmarking Human-Like Intelligence in Machines.

Lance Ying, Katherine M. Collins, Lionel Wong, Ilia Sucholutsky, Ryan Liu, Adrian Weller, Tianmin Shu, Thomas L. Griffiths, Joshua B. Tenenbaum

CoRR, February, 2025

Revisiting Rogers' Paradox in the Context of Human-AI Interaction.

Katherine M. Collins, Umang Bhatt, Ilia Sucholutsky

CoRR, January, 2025

Getting aligned on representational alignment.

Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths

Trans. Mach. Learn. Res., 2025

Can Large Language Models Understand Symbolic Graphics Programs?

Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly.

Lance Ying, Ryan Truong, Katherine M. Collins, Cedegao E. Zhang, Megan Wei, Tyler Brooke-Wilson, Tan Zhi-Xuan, Lionel Wong, Joshua B. Tenenbaum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

What's in the Box? Reasoning about Unseen Objects from Multimodal Cues.

Lance Ying, Daniel Xu, Alicia Zhang, Katherine M. Collins, Max H. Siegel, Joshua B. Tenenbaum

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Meta-reasoning: Deciding which game to play, which problem to solve, and when to quit.

Lionel Wong, Tracey Mills, Ionatan Kuperwajs, Katherine M. Collins, Tom Griffiths

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models.

Lionel Wong, Katherine M. Collins, Lance Ying, Cedegao E. Zhang, Adrian Weller, Tobias Gerstenberg, Timothy O'Donnell, Alexander K. Lew, Jacob Andreas, Tyler Brooke-Wilson, Joshua B. Tenenbaum

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Generation and Evaluation in the Human Invention Process through the Lens of Game Design.

Katherine M. Collins, Graham Todd, Cedegao E. Zhang, Adrian Weller, Julian Togelius, Junyi Chu, Lionel Wong, Tom Griffiths, Joshua B. Tenenbaum

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Empathy in Explanation.

Katherine M. Collins, Kartik Chandra, Jonathan Ragan-Kelley, Adrian Weller, Joshua B. Tenenbaum

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Studying Mathematical Reasoning through the Gadget Game.

Jonas Bayer, Jacob Loader, Katherine M. Collins, Simon Frieder, Adrian Weller, Joshua B. Tenenbaum, Timothy Gowers

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Learning Personalized Decision Support Policies.

Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning.

Simon Frieder, Jonas Bayer, Katherine M. Collins, Julius Berner, Jacob Loader, András Juhász, Fabian Ruehle, Sean Welleck, Gabriel Poesia, Ryan-Rhys Griffiths, Adrian Weller, Anirudh Goyal, Thomas Lukasiewicz, Timothy Gowers

CoRR, 2024

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience.

Zhonghao He, Jascha Achterberg, Katie Collins, Kevin K. Nejad, Danyal Akarca, Yinzhu Yang, Wes Gurnee, Ilia Sucholutsky, Yuhan Tang, Rebeca Ianov, George Ogden, Chole Li, Kai Sandbrink, Stephen Casper, Anna Ivanova, Grace W. Lindsay

CoRR, 2024

Building Machines that Learn and Think with People.

Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E. Zhang, Tan Zhi-Xuan, Mark K. Ho, Vikash Mansinghka, Adrian Weller, Joshua B. Tenenbaum, Thomas L. Griffiths

CoRR, 2024

Modulating Language Model Experiences through Frictions.

Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt

CoRR, 2024

Representational Alignment Supports Effective Machine Teaching.

Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore R. Sumers, Michalis Korakakis, Umang Bhatt, Mark K. Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary A. Pardos, Adrian Weller, Thomas L. Griffiths

CoRR, 2024

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction.

Senjuti Dutta, Sherol Chen, Sunny Mak, Amnah Ahmad, Katherine Maeve Collins, Alena Butryna, Deepak Ramachandran, Krishnamurthy Dvijotham, Ellie Pavlick, Ravi Rajakumar

CoRR, 2024

Large Language Models Must Be Taught to Know What They Don't Know.

Sanyam Kapoor, Nate Gruver, Manley Roberts, Katie Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Rich Human Feedback for Text-to-Image Generation.

Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katherine M. Collins, Yiwen Luo, Yang Li, Kai J. Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam

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

People use fast, goal-directed simulation to reason about novel games.

Cedegao E. Zhang, Katherine M. Collins, Lionel Wong, Adrian Weller, Josh Tenenbaum

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

COGGRAPH: Building bridges between cognitive science and computer graphics.

Kartik Chandra, Anne H. K. Harrington, Katherine M. Collins, Christopher J. Kymn, Kushin Mukherjee, Sean P. Anderson, Arnav Verma, Judith E. Fan

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.

Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

AI for Mathematics: A Cognitive Science Perspective.

Cedegao E. Zhang, Katherine M. Collins, Adrian Weller, Joshua B. Tenenbaum

CoRR, 2023

Getting aligned on representational alignment.

Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths

CoRR, 2023

The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs.

Lance Ying, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong

CoRR, 2023

Selective Concept Models: Permitting Stakeholder Customisation at Test-Time.

Matthew Barker, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Umang Bhatt

CoRR, 2023

Evaluating Language Models for Mathematics through Interactions.

Katherine M. Collins, Albert Q. Jiang, Simon Frieder, Lionel Wong, Miri Zilka, Umang Bhatt, Thomas Lukasiewicz, Yuhuai Wu, Joshua B. Tenenbaum, William Hart, Timothy Gowers, Wenda Li, Adrian Weller, Mateja Jamnik

CoRR, 2023

On the informativeness of supervision signals.

Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Human-in-the-Loop Mixup.

Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Learning to Receive Help: Intervention-Aware Concept Embedding Models.

Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik

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

GeValDi: Generative Validation of Discriminative Models.

Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Robotics for the Streets: Open-Source Robotics for Academics.

Carlotta A. Berry, Alejandro Marcenido Larregola, Katie Collins, Josiah McGee

Proceedings of the IEEE Frontiers in Education Conference, 2023

Harms from Increasingly Agentic Algorithmic Systems.

Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines.

Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Human Uncertainty in Concept-Based AI Systems.

Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Web-based Elicitation of Human Perception on mixup Data.

Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller

CoRR, 2022

Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface.

Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth Narayanaswamy, Samuel Gershman, Joshua B. Tenenbaum

Proceedings of the Tenth International Conference on Learning Representations, 2022

Eliciting and Learning with Soft Labels from Every Annotator.

Katherine M. Collins, Umang Bhatt, Adrian Weller

Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks.

Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Josh Tenenbaum

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

2021

Learning Signal-Agnostic Manifolds of Neural Fields.

Yilun Du, Katie Collins, Josh Tenenbaum, Vincent Sitzmann

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Perceiving unseen objects.

Katherine M. Collins, Josh Tenenbaum, Kevin Smith

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