Ilia Sucholutsky

89 papers A* 10A 3B 15C 1Misc 1Journal 55Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Human-AI Synergy Supports Collective Creative Search. CoRR Chenyi Li, Raja Marjieh, Haoyu Hu, Mark Steyvers, Katherine M. Collins, Ilia Sucholutsky, Nori Jacoby
2026	J	`jnl`	Language Model Teams as Distributed Systems. CoRR Elizabeth Mieczkowski, Katherine M. Collins, Ilia Sucholutsky, Natalia Vélez, Thomas L. Griffiths
2026	J	`jnl`	Under the Influence: Quantifying Persuasion and Vigilance in Large Language Models. CoRR Sasha Robinson, Kerem Oktar, Katherine M. Collins, Ilia Sucholutsky, Kelsey R. Allen
2026	J	`jnl`	Why Human Guidance Matters in Collaborative Vibe Coding. CoRR Haoyu Hu, Raja Marjieh, Katherine M. Collins, Chenyi Li, Thomas L. Griffiths, Ilia Sucholutsky, Nori Jacoby
2025	J	`jnl`	Characterizing the Large-Scale Structure of Multimodal Semantic Networks. Cogn. Sci. Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Harin Lee, Nori Jacoby, Thomas L. Griffiths
2025	J	`jnl`	Getting aligned on representational alignment. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Identifying, Evaluating, and Mitigating Risks of AI Thought Partnerships. CoRR Kerem Oktar, Katherine M. Collins, José Hernández-Orallo, Diane Coyle, Stephen Cave, Adrian Weller, Ilia Sucholutsky
2025	A*	`conf`	Large Language Models Assume People are More Rational than We Really are. ICLR Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths
2025	B	`conf`	Learning a Doubly-Exponential Number of Concepts From Few Examples. CogSci Ilia Sucholutsky, Bonan Zhao, Hee Seung Hwang, Allison Chen, Olga Russakovsky, Tom Griffiths
2025	J	`jnl`	Measuring and mitigating overreliance is necessary for building human-compatible AI. CoRR 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
2025	A*	`conf`	Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse. ICML Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
2025	J	`jnl`	On Benchmarking Human-Like Intelligence in Machines. CoRR Lance Ying, Katherine M. Collins, Lionel Wong, Ilia Sucholutsky, Ryan Liu, Adrian Weller, Tianmin Shu, Thomas L. Griffiths, Joshua B. Tenenbaum
2025	A	`conf`	Quantifying Knowledge Distillation using Partial Information Decomposition. AISTATS Pasan Dissanayake, Faisal Hamman, Barproda Halder, Ilia Sucholutsky, Qiuyi Zhang, Sanghamitra Dutta
2025	J	`jnl`	Revisiting Rogers' Paradox in the Context of Human-AI Interaction. CoRR Katherine M. Collins, Umang Bhatt, Ilia Sucholutsky
2025	J	`jnl`	Towards Formalizing Spuriousness of Biased Datasets Using Partial Information Decomposition. Trans. Mach. Learn. Res. Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta
2025	J	`jnl`	Using LLMs to Advance the Cognitive Science of Collectives. CoRR Ilia Sucholutsky, Katherine M. Collins, Nori Jacoby, Bill D. Thompson, Robert D. Hawkins
2025	J	`jnl`	Using LLMs to advance the cognitive science of collectives. Nat. Comput. Sci. Ilia Sucholutsky, Katherine M. Collins, Nori Jacoby, Bill D. Thompson, Robert D. Hawkins
2025	J	`jnl`	Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis. CoRR Alexander Ku, Declan Campbell, Xuechunzi Bai, Jiayi Geng, Ryan Liu, Raja Marjieh, R. Thomas McCoy, Andrew Nam, Ilia Sucholutsky, Veniamin Veselovsky, Liyi Zhang, Jian-Qiao Zhu, Thomas L. Griffiths
2025	J	`jnl`	What is a Number, That a Large Language Model May Know It? CoRR Raja Marjieh, Veniamin Veselovsky, Thomas L. Griffiths, Ilia Sucholutsky
2025	J	`jnl`	When Should We Orchestrate Multiple Agents? CoRR Umang Bhatt, Sanyam Kapoor, Mihir Upadhyay, Ilia Sucholutsky, Francesco Quinzan, Katherine M. Collins, Adrian Weller, Andrew Gordon Wilson, Muhammad Bilal Zafar
2024	B	`conf`	A Rational Analysis of the Speech-to-Song Illusion. CogSci Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Harin Lee, Tom Griffiths, Nori Jacoby
2024	J	`jnl`	A Rational Analysis of the Speech-to-Song Illusion. CoRR Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Harin Lee, Thomas L. Griffiths, Nori Jacoby
2024	Misc	`conf`	Adaptive Language-Guided Abstraction from Contrastive Explanations. CoRL Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu
2024	J	`jnl`	Adaptive Language-Guided Abstraction from Contrastive Explanations. CoRR Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie A. Shah, Jacob Andreas, Andreea Bobu
2024	B	`conf`	Analyzing the Roles of Language and Vision in Learning from Limited Data. CogSci Allison Chen, Ilia Sucholutsky, Olga Russakovsky, Tom Griffiths
2024	J	`jnl`	Analyzing the Roles of Language and Vision in Learning from Limited Data. CoRR Allison Chen, Ilia Sucholutsky, Olga Russakovsky, Thomas L. Griffiths
2024	J	`jnl`	Building Machines that Learn and Think with People. CoRR 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
2024	—	`conf`	Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People. ACL (1) Dun-Ming Huang, Pol van Rijn, Ilia Sucholutsky, Raja Marjieh, Nori Jacoby
2024	J	`jnl`	Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People. CoRR Dun-Ming Huang, Pol van Rijn, Ilia Sucholutsky, Raja Marjieh, Nori Jacoby
2024	B	`conf`	Concept Alignment as a Prerequisite for Value Alignment. CogSci Sunayana Rane, Mark K. Ho, Ilia Sucholutsky, Tom Griffiths
2024	J	`jnl`	Concept Alignment. CoRR Sunayana Rane, Polyphony J. Bruna, Ilia Sucholutsky, Christopher T. Kello, Thomas L. Griffiths
2024	J	`jnl`	Large Language Models Assume People are More Rational than We Really are. CoRR Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths
2024	J	`jnl`	Large language models surpass human experts in predicting neuroscience results. CoRR Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love
2024	A*	`conf`	Learning Human-like Representations to Enable Learning Human Values. NeurIPS Andrea Wynn, Ilia Sucholutsky, Tom Griffiths
2024	A*	`conf`	Learning with Language-Guided State Abstractions. ICLR Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah
2024	J	`jnl`	Learning with Language-Guided State Abstractions. CoRR Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie A. Shah
2024	J	`jnl`	Measuring Implicit Bias in Explicitly Unbiased Large Language Models. CoRR Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, Thomas L. Griffiths
2024	J	`jnl`	Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse. CoRR Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
2024	J	`jnl`	Modulating Language Model Experiences through Frictions. CoRR Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt
2024	J	`jnl`	Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience. CoRR 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
2024	A*	`conf`	Preference-Conditioned Language-Guided Abstraction. HRI Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
2024	J	`jnl`	Preference-Conditioned Language-Guided Abstraction. CoRR Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
2024	—	`conf`	Pushing the Limits of Learning from Limited Data. AAAI Spring Symposia Maya Malaviya, Ilia Sucholutsky, Thomas L. Griffiths
2024	J	`jnl`	Quantifying Knowledge Distillation Using Partial Information Decomposition. CoRR Pasan Dissanayake, Faisal Hamman, Barproda Halder, Ilia Sucholutsky, Qiuyi Zhang, Sanghamitra Dutta
2024	J	`jnl`	Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition. CoRR Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta
2024	J	`jnl`	Representational Alignment Supports Effective Machine Teaching. CoRR 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
2024	B	`conf`	Studying the Effect of Globalization on Color Perception using Multilingual Online Recruitment and Large Language Models. CogSci Jakob Pete Niedermann, Ilia Sucholutsky, Raja Marjieh, Elif Çelen, Tom Griffiths, Nori Jacoby, Pol van Rijn
2024	B	`conf`	Using Compositionality to Learn Many Categories from Few Examples. CogSci Ilia Sucholutsky, Bonan Zhao, Tom Griffiths
2024	J	`jnl`	exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies. PeerJ Comput. Sci. Tiancheng Yang, Ilia Sucholutsky, Kuang-Yu Jen, Matthias Schonlau
2023	A*	`conf`	Alignment with human representations supports robust few-shot learning. NeurIPS Ilia Sucholutsky, Tom Griffiths
2023	J	`jnl`	Alignment with human representations supports robust few-shot learning. CoRR Ilia Sucholutsky, Thomas L. Griffiths
2023	A*	`conf`	Analyzing Diffusion as Serial Reproduction. ICML Raja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths
2023	B	`conf`	Around the world in 60 words: A generative vocabulary test for online research. CogSci Pol van Rijn, Yue Sun, Harin Lee, Raja Marjieh, Ilia Sucholutsky, Francesca Lanzarini, Elisabeth André, Nori Jacoby
2023	J	`jnl`	Around the world in 60 words: A generative vocabulary test for online research. CoRR Pol van Rijn, Yue Sun, Harin Lee, Raja Marjieh, Ilia Sucholutsky, Francesca Lanzarini, Elisabeth André, Nori Jacoby
2023	J	`jnl`	Concept Alignment as a Prerequisite for Value Alignment. CoRR Sunayana Rane, Mark K. Ho, Ilia Sucholutsky, Thomas L. Griffiths
2023	J	`jnl`	Dimensions of Disagreement: Unpacking Divergence and Misalignment in Cognitive Science and Artificial Intelligence. CoRR Kerem Oktar, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
2023	—	`conf`	End-to-End Learnable Masks With Differentiable Indexing. Tiny Papers @ ICLR Dibyanshu Shekhar, Sree Harsha Nelaturu, Ashwath Shetty, Ilia Sucholutsky
2023	J	`jnl`	Getting aligned on representational alignment. CoRR 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
2023	C	`conf`	Human Uncertainty in Concept-Based AI Systems. AIES Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
2023	J	`jnl`	Human Uncertainty in Concept-Based AI Systems. CoRR Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
2023	A	`conf`	Human-in-the-Loop Mixup. UAI Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller
2023	B	`conf`	Large language models meet cognitive science: LLMs as tools, models, and participants. CogSci Mathew D. Hardy, Ilia Sucholutsky, Bill Thompson, Tom Griffiths
2023	J	`jnl`	Learning Human-like Representations to Enable Learning Human Values. CoRR Andrea Wynn, Ilia Sucholutsky, Thomas L. Griffiths
2023	A	`conf`	On the informativeness of supervision signals. UAI Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths
2023	B	`conf`	What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models. CogSci Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, Tom Griffiths
2023	J	`jnl`	What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models. CoRR Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, Thomas L. Griffiths
2023	A*	`conf`	Words are all you need? Language as an approximation for human similarity judgments. ICLR Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby
2022	J	`jnl`	Analyzing Diffusion as Serial Reproduction. CoRR Raja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths
2022	B	`conf`	Can Humans Do Less-Than-One-Shot Learning? CogSci Maya Malaviya, Ilia Sucholutsky, Kerem Oktar, Tom Griffiths
2022	J	`jnl`	Can Humans Do Less-Than-One-Shot Learning? CoRR Maya Malaviya, Ilia Sucholutsky, Kerem Oktar, Thomas L. Griffiths
2022	J	`jnl`	On the Informativeness of Supervision Signals. CoRR Ilia Sucholutsky, Raja Marjieh, Nori Jacoby, Thomas L. Griffiths
2022	B	`conf`	Playing the Lottery of a Lifetime: The Effect of Socially Induced Aspiration on Q-Learning Agents. CogSci Yosi Hatekar, Rachit Dubey, Theodore R. Sumers, Ilia Sucholutsky
2022	B	`conf`	Predicting Human Similarity Judgments Using Large Language Models. CogSci Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Tom Griffiths
2022	J	`jnl`	Predicting Human Similarity Judgments Using Large Language Models. CoRR Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Thomas L. Griffiths
2022	J	`jnl`	Words are all you need? Capturing human sensory similarity with textual descriptors. CoRR Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby
2021	A*	`conf`	'Less Than One'-Shot Learning: Learning N Classes From M < N Samples. AAAI Ilia Sucholutsky, Matthias Schonlau
2021	—	`—`	Learning From Almost No Data. Ilia Sucholutsky
2021	B	`conf`	One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. IJCNN Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
2021	J	`jnl`	One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. CoRR Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
2021	J	`jnl`	Optimal 1-NN prototypes for pathological geometries. PeerJ Comput. Sci. Ilia Sucholutsky, Matthias Schonlau
2021	A*	`conf`	SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract). AAAI Ilia Sucholutsky, Matthias Schonlau
2021	B	`conf`	Soft-Label Dataset Distillation and Text Dataset Distillation. IJCNN Ilia Sucholutsky, Matthias Schonlau
2020	J	`jnl`	'Less Than One'-Shot Learning: Learning N Classes From M<N Samples. CoRR Ilia Sucholutsky, Matthias Schonlau
2020	J	`jnl`	Optimal 1-NN Prototypes for Pathological Geometries. CoRR Ilia Sucholutsky, Matthias Schonlau
2020	J	`jnl`	SecDD: Efficient and Secure Method for Remotely Training Neural Networks. CoRR Ilia Sucholutsky, Matthias Schonlau
2019	B	`conf`	Deep Learning for System Trace Restoration. IJCNN Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
2019	J	`jnl`	Deep Learning for System Trace Restoration. CoRR Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
2019	J	`jnl`	Improving Dataset Distillation. CoRR Ilia Sucholutsky, Matthias Schonlau
2019	J	`jnl`	Pay attention and you won't lose it: a deep learning approach to sequence imputation. PeerJ Comput. Sci. Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister