15 citations · 38 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores
Ke Shen, Mayank Kejriwal
Large Language Models (LLMs), such as ChatGPT, have achieved impressive milestones in natural language processing (NLP). Despite their impressive performance, the models are known…