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ORCIDSashank Varma
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2020 – today
- 2024
[j5]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)- [c30]Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma:
Development of Cognitive Intelligence in Pre-trained Language Models. EMNLP 2024: 9632-9657 - [i11]Atith Gandhi, Raj Sanjay Shah, Vijay Marupudi, Sashank Varma:
Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments. CoRR abs/2401.10393 (2024) - [i10]Xin Lian, Sashank Varma, Christopher J. MacLellan:
Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning. CoRR abs/2403.03835 (2024) - [i9]David Heineman, Reba Koenen, Sashank Varma:
Towards a Path Dependent Account of Category Fluency. CoRR abs/2405.06714 (2024) - [i8]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 abs/2405.16042 (2024) - [i7]Siddhartha K. Vemuri, Raj Sanjay Shah, Sashank Varma:
How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect. CoRR abs/2405.16128 (2024) - [i6]Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma:
Development of Cognitive Intelligence in Pre-trained Language Models. CoRR abs/2407.01047 (2024) - [i5]Grace Guo, Jenna Jiayi Kang, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma:
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models. CoRR abs/2411.00257 (2024) - 2023
- [c29]Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma:
Numeric Magnitude Comparison Effects in Large Language Models. ACL (Findings) 2023: 6147-6161 - [c28]Reba Koenen, Sashank Varma:
Adaptivity and optimization under constraints. CogSci 2023 - [c27]Vijay Marupudi, Sashank Varma:
Models of human visual clustering. CogSci 2023 - [c26]Max Zuo, Vijay Marupudi, Sashank Varma:
Unifying exemplar and prototype models of categorization. CogSci 2023 - [i4]Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma:
Numeric Magnitude Comparison Effects in Large Language Models. CoRR abs/2305.10782 (2023) - [i3]Khushi Bhardwaj, Raj Sanjay Shah, Sashank Varma:
Pre-training LLMs using human-like development data corpus. CoRR abs/2311.04666 (2023) - [i2]Vima Gupta, Sashank Varma:
Neural Network Models of Becoming a Cardinal Principle Knower. CoRR abs/2311.15194 (2023) - 2022
- [j4]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): 281-294 (2022) - [j3]V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma:
Categorical Perception of p-Values. Top. Cogn. Sci. 14(2): 414-425 (2022) - [c25]Jeffrey K. Bye, Rina Harsch, Sashank Varma:
Neighborhood effects for composite (i.e., non-prime) numbers. CogSci 2022 - [c24]Vima Gupta, Sashank Varma:
Learning to count: a neural network model of the successor function. CogSci 2022 - [c23]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 - [c22]Reba Koenen, Benjamin Y. Hayden, Alexander B. Herman, Sashank Varma:
Typicality gradients in the category fluency task. CogSci 2022 - [c21]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 - [c20]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 - [c19]Neha Upadhyay, Kritika Mittal, Sashank Varma:
Typicality Gradients in Computer Vision Models. CogSci 2022 - [c18]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: 405-408 - 2021
- [c17]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 - [c16]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 - [c15]V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma:
Categorical perception of p-values. CogSci 2021 - 2020
- [c14]Jeffrey K. Bye, Rina Harsch, Sashank Varma:
Algebra decoded: individual differences in strategy selection when solving for 'x'. CogSci 2020 - [c13]Kara Kedrick, Sashank Varma, Paul Schrater:
Identifying Individual Differences in Sensemaking and Information Foraging. CogSci 2020 - [c12]Vijay Marupudi, V. N. Vimal Rao, Jimin Park, Rina Harsch, Jeffrey K. Bye, Sashank Varma:
Clustering as a precursor to efficient and near-optimal solution of small instances of the Traveling Salesperson Problem (TSP). CogSci 2020
2010 – 2019
- 2018
- [j2]Purav Patel, Sashank Varma:
How the Abstract Becomes Concrete: Irrational Numbers Are Understood Relative to Natural Numbers and Perfect Squares. Cogn. Sci. 42(5): 1642-1676 (2018) - [c11]Soo-hyun Im, Sashank Varma:
Arithmetic Sense Predicts Children's Mathematical Achievement Better Than Arithmetic Fluency. CogSci 2018 - [c10]Jimin Park, Keisha Varma, Sashank Varma:
Does shifting ability support interleaved learning of new science concepts in middle school students? CogSci 2018 - [c9]Soo-hyun Im, Sashank Varma:
Sequencing Arithmetic, Area, and Algebraic Instruction for Teaching the Distributive Principle. ICLS 2018 - 2017
- [c8]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 - [c7]Qian Zhao, Sashank Varma, Joseph A. Konstan:
In-Video Reuse of Discussion Threads in MOOCs. L@S 2017: 153-156 - 2016
- [c6]Purav Patel, Sashank Varma:
Mental representations and processing of radical expressions. CogSci 2016 - 2014
- [i1]Yll Haxhimusa, Iris van Rooij, Sashank Varma, Todd Wareham:
Resource-bounded Problem Solving (Dagstuhl Seminar 14341). Dagstuhl Reports 4(8): 45-72 (2014) - 2013
- [c5]John Tracy Hale, Richard L. Lewis, David Reitter, Chung-chieh Shan, Sashank Varma:
Integrating Language and Cognitive Architecture. AAAI Fall Symposia 2013 - 2011
- [j1]Sashank Varma:
Criteria for the Design and Evaluation of Cognitive Architectures. Cogn. Sci. 35(7): 1329-1351 (2011)
2000 – 2009
- 2007
- [c4]Sashank Varma:
Resource Constraints on Computation and Communication in the Brain. IJCAI 2007: 611-616 - 2006
- [c3]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: 56- - [c2]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: 91-96 - [c1]Sashank Varma, Daniel L. Schwartz, Bruce D. McCandliss:
Is Neuroscience a Learning Science? ICLS 2006
Coauthor Index
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last updated on 2024-12-11 20:45 CET by the dblp team
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