Sashank Varma

According to our database, Sashank Varma authored at least 43 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Introduction to Progress and Puzzles of Cognitive Science.

Rick Dale, Ruth M. J. Byrne, Emma Cohen, Ophelia Deroy, Samuel J. Gershman, Janet H. Hsiao, Ping Li, Padraic Monaghan, David C. Noelle, Iris van Rooij, Priti Shah, Michael J. Spivey, Sashank Varma

Cogn. Sci., July, 2024

Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models.

Grace Guo, Jenna Jiayi Kang, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma

CoRR, 2024

How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect.

Siddhartha K. Vemuri, Raj Sanjay Shah, Sashank Varma

CoRR, 2024

Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention.

Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma

CoRR, 2024

Towards a Path Dependent Account of Category Fluency.

David Heineman, Reba Koenen, Sashank Varma

CoRR, 2024

Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning.

Xin Lian, Sashank Varma, Christopher J. MacLellan

CoRR, 2024

Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments.

Atith Gandhi, Raj Sanjay Shah, Vijay Marupudi, Sashank Varma

CoRR, 2024

Development of Cognitive Intelligence in Pre-trained Language Models.

Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Neural Network Models of Becoming a Cardinal Principle Knower.

Vima Gupta, Sashank Varma

CoRR, 2023

Pre-training LLMs using human-like development data corpus.

Khushi Bhardwaj, Raj Sanjay Shah, Sashank Varma

CoRR, 2023

Unifying exemplar and prototype models of categorization.

Max Zuo, Vijay Marupudi, Sashank Varma

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Models of human visual clustering.

Vijay Marupudi, Sashank Varma

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Adaptivity and optimization under constraints.

Reba Koenen, Sashank Varma

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Numeric Magnitude Comparison Effects in Large Language Models.

Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Categorical Perception of p-Values.

V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma

Top. Cogn. Sci., 2022

Decoding fact fluency and strategy flexibility in solving one-step algebra problems: An individual differences analysis.

Jeffrey K. Bye, Rina Harsch, Sashank Varma

J. Numer. Cogn., 2022

Re-envisioning a K-12 Early Warning System with School Climate Factors.

Mengchen Su, Lukas A. Olson, Daniel C. Jarratt, Sashank Varma, Joseph A. Konstan, Rebecca J. L. Keller, Bodong Chen

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Typicality Gradients in Computer Vision Models.

Neha Upadhyay, Kritika Mittal, Sashank Varma

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

Use of clustering in human solutions of the traveling salesperson problem.

Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jimin Park, Jeffrey K. Bye, Sashank Varma

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

Catastrophic interference in neural network models is mitigated when the training data reflect a power-law environmental structure.

Sibley F. Lyndgaard, Zachary R. Tidler, Lucas Provine, Sashank Varma

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

Typicality gradients in the category fluency task.

Reba Koenen, Benjamin Y. Hayden, Alexander B. Herman, Sashank Varma

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

Toward Automated Detection of Phase Changes in Team Collaboration.

Julie L. Harrison, Sona Anita Jain, Terri A. Dunbar, Jamie C. Gorman, Sashank Varma

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

Learning to count: a neural network model of the successor function.

Vima Gupta, Sashank Varma

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

Neighborhood effects for composite (i.e., non-prime) numbers.

Jeffrey K. Bye, Rina Harsch, Sashank Varma

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

2021

The role of clustering in the efficient solution of small Traveling Salesperson Problems.

Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jeffrey K. Bye, Jimin Park, Sashank Varma

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Calibration information reduces bias during estimation of factorials: A (partial) replication and extension of Tversky and Kahneman (1973).

Jeffrey K. Bye, Vijay Marupudi, Jimin Park, Sashank Varma

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Clustering as a precursor to efficient and near-optimal solution of small instances of the Traveling Salesperson Problem (TSP).

Vijay Marupudi, V. N. Vimal Rao, Jimin Park, Rina Harsch, Jeffrey K. Bye, Sashank Varma

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

Identifying Individual Differences in Sensemaking and Information Foraging.

Kara Kedrick, Sashank Varma, Paul Schrater

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

Algebra decoded: individual differences in strategy selection when solving for 'x'.

Jeffrey K. Bye, Rina Harsch, Sashank Varma

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

2018

How the Abstract Becomes Concrete: Irrational Numbers Are Understood Relative to Natural Numbers and Perfect Squares.

Purav Patel, Sashank Varma

Cogn. Sci., 2018

Sequencing Arithmetic, Area, and Algebraic Instruction for Teaching the Distributive Principle.

Soo-hyun Im, Sashank Varma

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Does shifting ability support interleaved learning of new science concepts in middle school students?

Jimin Park, Keisha Varma, Sashank Varma

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Arithmetic Sense Predicts Children's Mathematical Achievement Better Than Arithmetic Fluency.

Soo-hyun Im, Sashank Varma

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

In-Video Reuse of Discussion Threads in MOOCs.

Qian Zhao, Sashank Varma, Joseph A. Konstan

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

The Relationship Between Executive Functions and Science Achievement.

Drake Bauer, Sashank Varma, Keisha Varma, Martin Van Boekel, Alyssa Worley, Jean-Baptiste Quillien, Tayler Loiselle, Purav Patel

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Mental representations and processing of radical expressions.

Purav Patel, Sashank Varma

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2014

Resource-bounded Problem Solving (Dagstuhl Seminar 14341).

Yll Haxhimusa, Iris van Rooij, Sashank Varma, Todd Wareham

Dagstuhl Reports, 2014

2013

Integrating Language and Cognitive Architecture.

John Tracy Hale, Richard L. Lewis, David Reitter, Chung-chieh Shan, Sashank Varma

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2011

Criteria for the Design and Evaluation of Cognitive Architectures.

Sashank Varma

Cogn. Sci., 2011

2007

Resource Constraints on Computation and Communication in the Brain.

Sashank Varma

Proceedings of the IJCAI 2007, 2007

2006

Is Neuroscience a Learning Science?

Sashank Varma, Daniel L. Schwartz, Bruce D. McCandliss

Proceedings of the Making a Difference...: Proceedings of the 7th International Conference for the Learning Sciences, 2006

Strangeness.

Sashank Varma, Daniel L. Schwartz, W. Lawrence Neeley Jr.

Proceedings of the What Went Wrong and Why: Lessons from AI Research and Applications, 2006

4CAPS: An Adaptive Architecture for Human Information Processing.

Sashank Varma, Marcel Adam Just

Proceedings of the Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems, 2006