Sucholutsky, Ilia

23 publications

TMLR 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 Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine 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 O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus Robert Muller, Mariya Toneva, Thomas L. Griffiths

ICLR 2025 Large Language Models Assume People Are More Rational than We Really Are Ryan Liu, Jiayi Geng, Joshua Peterson, Ilia Sucholutsky, Thomas L. Griffiths

ICML 2025 Mind Your Step (by Step): Chain-of-Thought Can Reduce Performance on Tasks Where Thinking Makes Humans Worse Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths

AISTATS 2025 Quantifying Knowledge Distillation Using Partial Information Decomposition Pasan Dissanayake, Faisal Hamman, Barproda Halder, Ilia Sucholutsky, Qiuyi Zhang, Sanghamitra Dutta

ICLRW 2025 Representational Alignment Supports Effective Teaching Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore Sumers, Michalis Korakakis, Umang Bhatt, Mark K Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary Pardos, Adrian Weller, Thomas L. Griffiths

ICLRW 2025 Representational Alignment of Glomeruli Activation in Murine Olfactory Bulb Vivek kumar Agarwal, Julia Manasson, Mario H. Garrido-Czacki, Ilia Sucholutsky

TMLR 2025 Towards Formalizing Spuriousness of Biased Datasets Using Partial Information Decomposition Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta

CoRL 2024 Adaptive Language-Guided Abstraction from Contrastive Explanations Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu

NeurIPSW 2024 Formalizing Limits of Knowledge Distillation Using Partial Information Decomposition Pasan Dissanayake, Faisal Hamman, Barproda Halder, Ilia Sucholutsky, Qiuyi Zhang, Sanghamitra Dutta

NeurIPS 2024 Learning Human-like Representations to Enable Learning Human Values Andrea H. Wynn, Ilia Sucholutsky, Thomas L. Griffiths

ICLR 2024 Learning with Language-Guided State Abstractions Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah

NeurIPSW 2024 Measuring Implicit Bias in Explicitly Unbiased Large Language Models Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, Thomas L. Griffiths

NeurIPSW 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

ICLRW 2024 Preference-Conditioned Language-Guided Abstraction Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie Shah

NeurIPS 2023 Alignment with Human Representations Supports Robust Few-Shot Learning Ilia Sucholutsky, Tom Griffiths

ICML 2023 Analyzing Diffusion as Serial Reproduction Raja Marjieh, Ilia Sucholutsky, Thomas A Langlois, Nori Jacoby, Thomas L. Griffiths

UAI 2023 Human-in-the-Loop Mixup Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley Love, Adrian Weller

UAI 2023 On the Informativeness of Supervision Signals Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths

ICLR 2023 Words Are All You Need? Language as an Approximation for Human Similarity Judgments Raja Marjieh, Pol Van Rijn, Ilia Sucholutsky, Theodore Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby

NeurIPSW 2022 On the Informativeness of Supervision Signals Ilia Sucholutsky, Raja Marjieh, Thomas L. Griffiths

ICMLW 2022 Predicting Human Similarity Judgments Using Large Language Models Raja Marjieh, Ilia Sucholutsky, Theodore Sumers, Nori Jacoby, Thomas L. Griffiths

AAAI 2021 'Less than One'-Shot Learning: Learning N Classes from M < N Samples Ilia Sucholutsky, Matthias Schonlau

AAAI 2021 SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract) Ilia Sucholutsky, Matthias Schonlau