Ilia Sucholutsky

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 56

Top Topics

Top Venues

PeerJ Comput. Sci.

Publications

Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, Thomas L. Griffiths
Measuring Implicit Bias in Explicitly Unbiased Large Language Models. CoRR (2024)
Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Harin Lee, Thomas L. Griffiths, Nori Jacoby
A Rational Analysis of the Speech-to-Song Illusion. CoRR (2024)
Tiancheng Yang, Ilia Sucholutsky, Kuang-Yu Jen, Matthias Schonlau
exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies. PeerJ Comput. Sci. 10 (2024)
Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths
Large Language Models Assume People are More Rational than We Really are. CoRR (2024)
Sunayana Rane, Polyphony J. Bruna, Ilia Sucholutsky, Christopher T. Kello, Thomas L. Griffiths
Concept Alignment. CoRR (2024)
Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah
Learning with Language-Guided State Abstractions. ICLR (2024)
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
Representational Alignment Supports Effective Machine Teaching. CoRR (2024)
Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition. CoRR (2024)
Allison Chen, Ilia Sucholutsky, Olga Russakovsky, Thomas L. Griffiths
Analyzing the Roles of Language and Vision in Learning from Limited Data. CoRR (2024)
Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie A. Shah
Learning with Language-Guided State Abstractions. CoRR (2024)
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
Preference-Conditioned Language-Guided Abstraction. CoRR (2024)
Dun-Ming Huang, Pol van Rijn, Ilia Sucholutsky, Raja Marjieh, Nori Jacoby
Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People. CoRR (2024)
Dun-Ming Huang, Pol van Rijn, Ilia Sucholutsky, Raja Marjieh, Nori Jacoby
Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People. ACL (1) (2024)
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
Preference-Conditioned Language-Guided Abstraction. HRI (2024)
Maya Malaviya, Ilia Sucholutsky, Thomas L. Griffiths
Pushing the Limits of Learning from Limited Data. AAAI Spring Symposia (2024)
Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt
Modulating Language Model Experiences through Frictions. CoRR (2024)
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
Large language models surpass human experts in predicting neuroscience results. CoRR (2024)
Ilia Sucholutsky, Thomas L. Griffiths
Alignment with human representations supports robust few-shot learning. CoRR (2023)
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller
Human-in-the-Loop Mixup. UAI (2023)
Raja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths
Analyzing Diffusion as Serial Reproduction. ICML (2023)
Mathew D. Hardy, Ilia Sucholutsky, Bill Thompson, Tom Griffiths
Large language models meet cognitive science: LLMs as tools, models, and participants. CogSci (2023)
Andrea Wynn, Ilia Sucholutsky, Thomas L. Griffiths
Learning Human-like Representations to Enable Learning Human Values. CoRR (2023)
Kerem Oktar, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
Dimensions of Disagreement: Unpacking Divergence and Misalignment in Cognitive Science and Artificial Intelligence. CoRR (2023)
Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths
On the informativeness of supervision signals. UAI (2023)
Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, Tom Griffiths
What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models. CogSci (2023)
Dibyanshu Shekhar, Sree Harsha Nelaturu, Ashwath Shetty, Ilia Sucholutsky
End-to-End Learnable Masks With Differentiable Indexing. Tiny Papers @ ICLR (2023)
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
Getting aligned on representational alignment. CoRR (2023)
Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, Thomas L. Griffiths
What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models. CoRR (2023)
Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
Human Uncertainty in Concept-Based AI Systems. AIES (2023)
Pol van Rijn, Yue Sun, Harin Lee, Raja Marjieh, Ilia Sucholutsky, Francesca Lanzarini, Elisabeth André, Nori Jacoby
Around the world in 60 words: A generative vocabulary test for online research. CoRR (2023)
Pol van Rijn, Yue Sun, Harin Lee, Raja Marjieh, Ilia Sucholutsky, Francesca Lanzarini, Elisabeth André, Nori Jacoby
Around the world in 60 words: A generative vocabulary test for online research. CogSci (2023)
Ilia Sucholutsky, Tom Griffiths
Alignment with human representations supports robust few-shot learning. NeurIPS (2023)
Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby
Words are all you need? Language as an approximation for human similarity judgments. ICLR (2023)
Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
Human Uncertainty in Concept-Based AI Systems. CoRR (2023)
Sunayana Rane, Mark K. Ho, Ilia Sucholutsky, Thomas L. Griffiths
Concept Alignment as a Prerequisite for Value Alignment. CoRR (2023)
Raja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths
Analyzing Diffusion as Serial Reproduction. CoRR (2022)
Ilia Sucholutsky, Raja Marjieh, Nori Jacoby, Thomas L. Griffiths
On the Informativeness of Supervision Signals. CoRR (2022)
Maya Malaviya, Ilia Sucholutsky, Kerem Oktar, Thomas L. Griffiths
Can Humans Do Less-Than-One-Shot Learning? CoRR (2022)
Maya Malaviya, Ilia Sucholutsky, Kerem Oktar, Tom Griffiths
Can Humans Do Less-Than-One-Shot Learning? CogSci (2022)
Yosi Hatekar, Rachit Dubey, Theodore R. Sumers, Ilia Sucholutsky
Playing the Lottery of a Lifetime: The Effect of Socially Induced Aspiration on Q-Learning Agents. CogSci (2022)
Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby
Words are all you need? Capturing human sensory similarity with textual descriptors. CoRR (2022)
Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Thomas L. Griffiths
Predicting Human Similarity Judgments Using Large Language Models. CoRR (2022)
Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Tom Griffiths
Predicting Human Similarity Judgments Using Large Language Models. CogSci (2022)
Ilia Sucholutsky, Matthias Schonlau
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract). AAAI (2021)
Ilia Sucholutsky, Matthias Schonlau
'Less Than One'-Shot Learning: Learning N Classes From M < N Samples. AAAI (2021)
Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. CoRR (2021)
Ilia Sucholutsky, Matthias Schonlau
Soft-Label Dataset Distillation and Text Dataset Distillation. IJCNN (2021)
Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. IJCNN (2021)
Ilia Sucholutsky, Matthias Schonlau
Optimal 1-NN prototypes for pathological geometries. PeerJ Comput. Sci. 7 (2021)
Ilia Sucholutsky, Matthias Schonlau
Optimal 1-NN Prototypes for Pathological Geometries. CoRR (2020)
Ilia Sucholutsky, Matthias Schonlau
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples. CoRR (2020)
Ilia Sucholutsky, Matthias Schonlau
SecDD: Efficient and Secure Method for Remotely Training Neural Networks. CoRR (2020)
Ilia Sucholutsky, Matthias Schonlau
Improving Dataset Distillation. CoRR (2019)
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
Deep Learning for System Trace Restoration. IJCNN (2019)
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
Deep Learning for System Trace Restoration. CoRR (2019)
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
Pay attention and you won't lose it: a deep learning approach to sequence imputation. PeerJ Comput. Sci. 5 (2019)