Sashank Varma - RankMe

68 papers A* 4B 33Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are More Tokens Rational? Inference-Time Scaling in Language Models as Adaptive Resource Rationality. CoRR Zhimin Hu, Riya Roshan, Sashank Varma
2026	A*	`conf`	Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans. AAAI Zekun Wang, Sashank Varma
2026	J	`jnl`	The Representational Geometry of Number. CoRR Zhimin Hu, Lanhao Niu, Sashank Varma
2026	J	`jnl`	When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations. CoRR Harsh Nishant Lalai, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma, Grace Guo
2025	B	`conf`	A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning. CogSci James P. Jun, Vijay Marupudi, Raj Sanjay Shah, Sashank Varma
2025	J	`jnl`	A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning. CoRR James P. Jun, Vijay Marupudi, Raj Sanjay Shah, Sashank Varma
2025	A*	`conf`	Alignment of CNN and Human Judgments of Geometric and Topological Concepts. AAAI Neha Upadhyay, Vijay Marupudi, Kamala Varma, Sashank Varma
2025	J	`jnl`	Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans. CoRR Zekun Wang, Sashank Varma
2025	B	`conf`	Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts. CogSci Zekun Wang, Sashank Varma
2025	J	`jnl`	Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts. CoRR Zekun Wang, Sashank Varma
2025	B	`conf`	Cross-Language Typicality Effects in a Multilingual Large Language Model. CogSci Sneh Gupta, Ethan L. Haarer, May Kalnik, Amogh S. Mellacheruvu, Nikhita Vasan, Sashank Varma
2025	B	`conf`	Modeling Understanding of Story-Based Analogies Using Large Language Models. CogSci Keshav Kabra, Kalit Inani, Vijay Marupudi, Sashank Varma
2025	J	`jnl`	Modeling Understanding of Story-Based Analogies Using Large Language Models. CoRR Kalit Inani, Keshav Kabra, Vijay Marupudi, Sashank Varma
2025	B	`conf`	Perceived clusters may not explain people's judgments of approximate numerosity. CogSci Vijay Marupudi, Sashank Varma, V. N. Vimal Rao
2025	J	`jnl`	The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities. CoRR Harsh Nishant Lalai, Raj Sanjay Shah, Jiaxin Pei, Sashank Varma, Yi-Chia Wang, Ali Emami
2025	J	`jnl`	The potential - and the pitfalls - of using pre-trained language models as cognitive science theories. CoRR Raj Sanjay Shah, Sashank Varma
2024	J	`jnl`	Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments. CoRR Atith Gandhi, Raj Sanjay Shah, Vijay Marupudi, Sashank Varma
2024	B	`conf`	Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning. CogSci Xin Lian, Sashank Varma, Christopher MacLellan
2024	J	`jnl`	Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning. CoRR Xin Lian, Sashank Varma, Christopher J. MacLellan
2024	A*	`conf`	Development of Cognitive Intelligence in Pre-trained Language Models. EMNLP Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma
2024	J	`jnl`	Development of Cognitive Intelligence in Pre-trained Language Models. CoRR Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma
2024	B	`conf`	Estimating the growth of functions. CogSci Vijay Marupudi, Jeffrey K. Bye, Sashank Varma
2024	B	`conf`	How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect. CogSci Siddhartha K. Vemuri, Raj Sanjay Shah, Sashank Varma
2024	J	`jnl`	How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect. CoRR Siddhartha K. Vemuri, Raj Sanjay Shah, Sashank Varma
2024	B	`conf`	Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention. CogSci Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma
2024	J	`jnl`	Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention. CoRR Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma
2024	J	`jnl`	Introduction to Progress and Puzzles of Cognitive Science. Cogn. Sci. 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
2024	J	`jnl`	Towards a Path Dependent Account of Category Fluency. CoRR David Heineman, Reba Koenen, Sashank Varma
2024	B	`conf`	Towards a path dependent account of category fluency. CogSci David Heineman, Reba Koenen, Sashank Varma
2024	J	`jnl`	Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models. CoRR Grace Guo, Jenna Jiayi Kang, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma
2024	B	`conf`	Understanding Infinity: Neural Network Models of Becoming a "Cardinal Principle Knower". CogSci Vima Gupta, Sashank Varma
2023	B	`conf`	Adaptivity and optimization under constraints. CogSci Reba Koenen, Sashank Varma
2023	B	`conf`	Models of human visual clustering. CogSci Vijay Marupudi, Sashank Varma
2023	J	`jnl`	Neural Network Models of Becoming a Cardinal Principle Knower. CoRR Vima Gupta, Sashank Varma
2023	—	`conf`	Numeric Magnitude Comparison Effects in Large Language Models. ACL (Findings) Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma
2023	J	`jnl`	Numeric Magnitude Comparison Effects in Large Language Models. CoRR Raj Sanjay Shah, Vijay Marupudi, Reba Koenen, Khushi Bhardwaj, Sashank Varma
2023	J	`jnl`	Pre-training LLMs using human-like development data corpus. CoRR Khushi Bhardwaj, Raj Sanjay Shah, Sashank Varma
2023	B	`conf`	Unifying exemplar and prototype models of categorization. CogSci Max Zuo, Vijay Marupudi, Sashank Varma
2022	B	`conf`	Catastrophic interference in neural network models is mitigated when the training data reflect a power-law environmental structure. CogSci Sibley F. Lyndgaard, Zachary R. Tidler, Lucas Provine, Sashank Varma
2022	J	`jnl`	Categorical Perception of p-Values. Top. Cogn. Sci. V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma
2022	J	`jnl`	Decoding fact fluency and strategy flexibility in solving one-step algebra problems: An individual differences analysis. J. Numer. Cogn. Jeffrey K. Bye, Rina Harsch, Sashank Varma
2022	B	`conf`	Learning to count: a neural network model of the successor function. CogSci Vima Gupta, Sashank Varma
2022	B	`conf`	Neighborhood effects for composite (i.e., non-prime) numbers. CogSci Jeffrey K. Bye, Rina Harsch, Sashank Varma
2022	B	`conf`	Re-envisioning a K-12 Early Warning System with School Climate Factors. L@S Mengchen Su, Lukas A. Olson, Daniel C. Jarratt, Sashank Varma, Joseph A. Konstan, Rebecca J. L. Keller, Bodong Chen
2022	B	`conf`	Toward Automated Detection of Phase Changes in Team Collaboration. CogSci Julie L. Harrison, Sona Anita Jain, Terri A. Dunbar, Jamie C. Gorman, Sashank Varma
2022	B	`conf`	Typicality Gradients in Computer Vision Models. CogSci Neha Upadhyay, Kritika Mittal, Sashank Varma
2022	B	`conf`	Typicality gradients in the category fluency task. CogSci Reba Koenen, Benjamin Y. Hayden, Alexander B. Herman, Sashank Varma
2022	B	`conf`	Use of clustering in human solutions of the traveling salesperson problem. CogSci Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jimin Park, Jeffrey K. Bye, Sashank Varma
2021	B	`conf`	Calibration information reduces bias during estimation of factorials: A (partial) replication and extension of Tversky and Kahneman (1973). CogSci Jeffrey K. Bye, Vijay Marupudi, Jimin Park, Sashank Varma
2021	B	`conf`	Categorical perception of p-values. CogSci V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma
2021	B	`conf`	The role of clustering in the efficient solution of small Traveling Salesperson Problems. CogSci Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jeffrey K. Bye, Jimin Park, Sashank Varma
2020	B	`conf`	Algebra decoded: individual differences in strategy selection when solving for 'x'. CogSci Jeffrey K. Bye, Rina Harsch, Sashank Varma
2020	B	`conf`	Clustering as a precursor to efficient and near-optimal solution of small instances of the Traveling Salesperson Problem (TSP). CogSci Vijay Marupudi, V. N. Vimal Rao, Jimin Park, Rina Harsch, Jeffrey K. Bye, Sashank Varma
2020	B	`conf`	Identifying Individual Differences in Sensemaking and Information Foraging. CogSci Kara Kedrick, Sashank Varma, Paul Schrater
2018	B	`conf`	Arithmetic Sense Predicts Children's Mathematical Achievement Better Than Arithmetic Fluency. CogSci Soo-hyun Im, Sashank Varma
2018	B	`conf`	Does shifting ability support interleaved learning of new science concepts in middle school students? CogSci Jimin Park, Keisha Varma, Sashank Varma
2018	J	`jnl`	How the Abstract Becomes Concrete: Irrational Numbers Are Understood Relative to Natural Numbers and Perfect Squares. Cogn. Sci. Purav Patel, Sashank Varma
2018	—	`conf`	Sequencing Arithmetic, Area, and Algebraic Instruction for Teaching the Distributive Principle. ICLS Soo-hyun Im, Sashank Varma
2017	B	`conf`	In-Video Reuse of Discussion Threads in MOOCs. L@S Qian Zhao, Sashank Varma, Joseph A. Konstan
2017	B	`conf`	The Relationship Between Executive Functions and Science Achievement. CogSci Drake Bauer, Sashank Varma, Keisha Varma, Martin Van Boekel, Alyssa Worley, Jean-Baptiste Quillien, Tayler Loiselle, Purav Patel
2016	B	`conf`	Mental representations and processing of radical expressions. CogSci Purav Patel, Sashank Varma
2014	J	`jnl`	Resource-bounded Problem Solving (Dagstuhl Seminar 14341). Dagstuhl Reports Yll Haxhimusa, Iris van Rooij, Sashank Varma, Todd Wareham
2013	—	`conf`	Integrating Language and Cognitive Architecture. AAAI Fall Symposia John Tracy Hale, Richard L. Lewis, David Reitter, Chung-chieh Shan, Sashank Varma
2011	J	`jnl`	Criteria for the Design and Evaluation of Cognitive Architectures. Cogn. Sci. Sashank Varma
2007	A*	`conf`	Resource Constraints on Computation and Communication in the Brain. IJCAI Sashank Varma
2006	—	`conf`	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 Sashank Varma, Marcel Adam Just
2006	—	`conf`	Is Neuroscience a Learning Science? ICLS Sashank Varma, Daniel L. Schwartz, Bruce D. McCandliss
2006	—	`conf`	Strangeness. AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications Sashank Varma, Daniel L. Schwartz, W. Lawrence Neeley Jr.