Sashank Varma

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 37

Top Topics

Individual Differences

Science Achievement

Middle School Students

Information Foraging

Top Venues

Publications

Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma
Development of Cognitive Intelligence in Pre-trained Language Models. CoRR (2024)
Xin Lian, Sashank Varma, Christopher J. MacLellan
Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning. CoRR (2024)
Siddhartha K. Vemuri, Raj Sanjay Shah, Sashank Varma
How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect. CoRR (2024)
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
Introduction to Progress and Puzzles of Cognitive Science. Cogn. Sci. 48 (7) (2024)
David Heineman, Reba Koenen, Sashank Varma
Towards a Path Dependent Account of Category Fluency. CoRR (2024)
Atith Gandhi, Raj Sanjay Shah, Vijay Marupudi, Sashank Varma
Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments. CoRR (2024)
Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention. CoRR (2024)
Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma
Numeric Magnitude Comparison Effects in Large Language Models. ACL (Findings) (2023)
Max Zuo, Vijay Marupudi, Sashank Varma
Unifying exemplar and prototype models of categorization. CogSci (2023)
Vijay Marupudi, Sashank Varma
Models of human visual clustering. CogSci (2023)
Vima Gupta, Sashank Varma
Neural Network Models of Becoming a Cardinal Principle Knower. CoRR (2023)
Reba Koenen, Sashank Varma
Adaptivity and optimization under constraints. CogSci (2023)
Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma
Numeric Magnitude Comparison Effects in Large Language Models. CoRR (2023)
Khushi Bhardwaj, Raj Sanjay Shah, Sashank Varma
Pre-training LLMs using human-like development data corpus. CoRR (2023)
Jeffrey K. Bye, Rina Harsch, Sashank Varma
Neighborhood effects for composite (i.e., non-prime) numbers. CogSci (2022)
Reba Koenen, Benjamin Y. Hayden, Alexander B. Herman, Sashank Varma
Typicality gradients in the category fluency task. CogSci (2022)
Jeffrey K. Bye, Rina Harsch, Sashank Varma
Decoding fact fluency and strategy flexibility in solving one-step algebra problems: An individual differences analysis. J. Numer. Cogn. 8 (2) (2022)
Mengchen Su, Lukas A. Olson, Daniel C. Jarratt, Sashank Varma, Joseph A. Konstan, Rebecca J. L. Keller, Bodong Chen
Re-envisioning a K-12 Early Warning System with School Climate Factors. L@S (2022)
V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma
Categorical Perception of p-Values. Top. Cogn. Sci. 14 (2) (2022)
Sibley F. Lyndgaard, Zachary R. Tidler, Lucas Provine, Sashank Varma
Catastrophic interference in neural network models is mitigated when the training data reflect a power-law environmental structure. CogSci (2022)
Vima Gupta, Sashank Varma
Learning to count: a neural network model of the successor function. CogSci (2022)
Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jimin Park, Jeffrey K. Bye, Sashank Varma
Use of clustering in human solutions of the traveling salesperson problem. CogSci (2022)
Julie L. Harrison, Sona Anita Jain, Terri A. Dunbar, Jamie C. Gorman, Sashank Varma
Toward Automated Detection of Phase Changes in Team Collaboration. CogSci (2022)
Neha Upadhyay, Kritika Mittal, Sashank Varma
Typicality Gradients in Computer Vision Models. CogSci (2022)
Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jeffrey K. Bye, Jimin Park, Sashank Varma
The role of clustering in the efficient solution of small Traveling Salesperson Problems. CogSci (2021)
Jeffrey K. Bye, Vijay Marupudi, Jimin Park, Sashank Varma
Calibration information reduces bias during estimation of factorials: A (partial) replication and extension of Tversky and Kahneman (1973). CogSci (2021)
V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma
Categorical perception of p-values. CogSci (2021)
Jeffrey Bye, Rina Harsch, Sashank Varma
Algebra decoded: individual differences in strategy selection when solving for 'x'. CogSci (2020)
Vijay Marupudi, Vimal Rao, Jimin Park, Rina Harsch, Jeffrey Bye, Sashank Varma
Clustering as a precursor to efficient and near-optimal solution of small instances of the Traveling Salesperson Problem (TSP). CogSci (2020)
Kara Kedrick, Sashank Varma, Paul Schrater
Identifying Individual Differences in Sensemaking and Information Foraging. CogSci (2020)
Soo-hyun Im, Sashank Varma
Sequencing Arithmetic, Area, and Algebraic Instruction for Teaching the Distributive Principle. ICLS (2018)
Purav Patel, Sashank Varma
How the Abstract Becomes Concrete: Irrational Numbers Are Understood Relative to Natural Numbers and Perfect Squares. Cogn. Sci. 42 (5) (2018)
Jimin Park, Keisha Varma, Sashank Varma
Does shifting ability support interleaved learning of new science concepts in middle school students? CogSci (2018)
Soo-hyun Im, Sashank Varma
Arithmetic Sense Predicts Children's Mathematical Achievement Better Than Arithmetic Fluency. CogSci (2018)
Drake Bauer, Sashank Varma, Keisha Varma, Martin Van Boekel, Alyssa Worley, Jean-Baptiste Quillien, Tayler Loiselle, Purav Patel
The Relationship Between Executive Functions and Science Achievement. CogSci (2017)
Qian Zhao, Sashank Varma, Joseph A. Konstan
In-Video Reuse of Discussion Threads in MOOCs. L@S (2017)
Purav Patel, Sashank Varma
Mental representations and processing of radical expressions. CogSci (2016)
Yll Haxhimusa, Iris van Rooij, Sashank Varma, Todd Wareham
Resource-bounded Problem Solving (Dagstuhl Seminar 14341). Dagstuhl Reports 4 (8) (2014)
John Tracy Hale, Richard L. Lewis, David Reitter, Chung-chieh Shan, Sashank Varma
Integrating Language and Cognitive Architecture. AAAI Fall Symposia (2013)
Sashank Varma
Criteria for the Design and Evaluation of Cognitive Architectures. Cogn. Sci. 35 (7) (2011)
Sashank Varma
Resource Constraints on Computation and Communication in the Brain. IJCAI (2007)
Sashank Varma, Daniel L. Schwartz, Bruce D. McCandliss
Is Neuroscience a Learning Science? ICLS (2006)
Sashank Varma, Marcel Adam Just
4CAPS: An Adaptive Architecture for Human Information Processing. AAAI Spring Symposium: Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems (2006)
Sashank Varma, Daniel L. Schwartz, W. Lawrence Neeley Jr.
Strangeness. AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications (2006)