30 citations · 233 across the 58 of their papers we have counts for
7 papers · 1 filter
Modeling and Simulating Agent-Based City Migration Using Conway's Game of Life
Bruce Deng, Mayank Kejriwal
Agent-based modeling (ABM) has become a cornerstone of complexity science, enabling the study of heterogeneous agents interacting within dynamic environments. Among ABM frameworks,…
Humanlike Cognitive Patterns as Emergent Phenomena in Large Language Models
Zhisheng Tang, Mayank Kejriwal
Research on emergent patterns in Large Language Models (LLMs) has gained significant traction in both psychology and artificial intelligence, motivating the need for a comprehensiv…
SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL
Ke Shen, Mayank Kejriwal
In recent years,Text-to-SQL, the problem of automatically converting questions posed in natural language to formal SQL queries, has emerged as an important problem at the intersect…
Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference
Ke Shen, Mayank Kejriwal
Despite their impressive performance, large language models (LLMs) such as ChatGPT are known to pose important risks. One such set of risks arises from misplaced confidence, whethe…
GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning
Zhisheng Tang, Mayank Kejriwal
Spatial reasoning, an important faculty of human cognition with many practical applications, is one of the core commonsense skills that is not purely language-based and, for satisf…
Is persona enough for personality? Using ChatGPT to reconstruct an agent's latent personality from simple descriptions
Yongyi Ji, Zhisheng Tang, Mayank Kejriwal
Personality, a fundamental aspect of human cognition, contains a range of traits that influence behaviors, thoughts, and emotions. This paper explores the capabilities of large lan…