Ilia Sucholutsky
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
11
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Quantifying Knowledge Distillation using Partial Information Decomposition. | Pasan Dissanayake, Faisal Hamman, Barproda Halder, Ilia Sucholutsky, Qiuyi Zhang, Sanghamitra Dutta |
| 2025 | CogSci | Learning a Doubly-Exponential Number of Concepts From Few Examples. | Ilia Sucholutsky, Bonan Zhao, Hee Seung Hwang, Allison Chen, Olga Russakovsky, Tom Griffiths |
| 2025 | ICLR | Large Language Models Assume People are More Rational than We Really are. | Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths |
| 2025 | ICML | 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 |
| 2024 | ACL | Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People. | Dun-Ming Huang, Pol van Rijn, Ilia Sucholutsky, Raja Marjieh, Nori Jacoby |
| 2024 | CogSci | Analyzing the Roles of Language and Vision in Learning from Limited Data. | Allison Chen, Ilia Sucholutsky, Olga Russakovsky, Tom Griffiths |
| 2024 | CogSci | A Rational Analysis of the Speech-to-Song Illusion. | Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Harin Lee, Tom Griffiths, Nori Jacoby |
| 2024 | CogSci | Studying the Effect of Globalization on Color Perception using Multilingual Online Recruitment and Large Language Models. | Jakob Pete Niedermann, Ilia Sucholutsky, Raja Marjieh, Elif elen, Tom Griffiths, Nori Jacoby, Pol van Rijn |
| 2024 | CogSci | Concept Alignment as a Prerequisite for Value Alignment. | Sunayana Rane, Mark K. Ho, Ilia Sucholutsky, Tom Griffiths |
| 2024 | CogSci | Using Compositionality to Learn Many Categories from Few Examples. | Ilia Sucholutsky, Bonan Zhao, Tom Griffiths |
| 2024 | CoRL | Adaptive Language-Guided Abstraction from Contrastive Explanations. | Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie Shah, Jacob Andreas, Andreea Bobu |
| 2024 | HRI | Preference-Conditioned Language-Guided Abstraction. | Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah |
| 2024 | ICLR | Learning with Language-Guided State Abstractions. | Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah |
| 2023 | AIES | 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 |
| 2023 | CogSci | Large language models meet cognitive science: LLMs as tools, models, and participants. | Mathew D. Hardy, Ilia Sucholutsky, Bill Thompson, Tom Griffiths |
| 2023 | CogSci | What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models. | Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, Tom Griffiths |
| 2023 | CogSci | Around the world in 60 words: A generative vocabulary test for online research. | Pol van Rijn, Yue Sun, Harin Lee, Raja Marjieh, Ilia Sucholutsky, Francesca Lanzarini, Elisabeth Andr, Nori Jacoby |
| 2023 | ICLR | Words are all you need? Language as an approximation for human similarity judgments. | Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby |
| 2023 | ICLR | End-to-End Learnable Masks With Differentiable Indexing. | Dibyanshu Shekhar, Sree Harsha Nelaturu, Ashwath Shetty, Ilia Sucholutsky |
| 2023 | ICML | Analyzing Diffusion as Serial Reproduction. | Raja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths |
| 2023 | UAI | Human-in-the-Loop Mixup. | Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller |
| 2023 | UAI | 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 |
| 2022 | CogSci | Playing the Lottery of a Lifetime: The Effect of Socially Induced Aspiration on Q-Learning Agents. | Yosi Hatekar, Rachit Dubey, Theodore R. Sumers, Ilia Sucholutsky |
| 2022 | CogSci | Can Humans Do Less-Than-One-Shot Learning? | Maya Malaviya, Ilia Sucholutsky, Kerem Oktar, Tom Griffiths |
| 2022 | CogSci | Predicting Human Similarity Judgments Using Large Language Models. | Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Tom Griffiths |
| 2021 | AAAI | 'Less Than One'-Shot Learning: Learning N Classes From M < N Samples. | Ilia Sucholutsky, Matthias Schonlau |
| 2021 | AAAI | SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract). | Ilia Sucholutsky, Matthias Schonlau |
| 2021 | IJCNN | One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. | Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau |
| 2021 | IJCNN | Soft-Label Dataset Distillation and Text Dataset Distillation. | Ilia Sucholutsky, Matthias Schonlau |
| 2019 | IJCNN | Deep Learning for System Trace Restoration. | Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister |