3 citations · 3 across the 5 of their papers we have counts for
5 papers
Why Better Models Can Create Riskier Systems: Evidence from LLM Agents in Financial Markets
Jillian Ross, Eric So, Zoe De Simone +2
Large language models (LLMs) are being deployed at scale in consequential real-world systems, from financial markets to content moderation to hiring. We show that improving individ…
Lost in Context: Addressing Context Anxiety in Large Language Models
Ifueko Igbinedion, Jillian Ross, Etienne Ricardez +2
Conventional wisdom suggests that reasoning models fail when problems exceed their capabilities. However, we find that frontier reasoning models sometimes possess the necessary cap…
Breaking Bad Financial Habits: How LLM Conversations Correct Financial Misconceptions
Jillian Ross, Eric So, Andrew W. Lo
Financial misconceptions carry direct economic costs, from panic selling to equity market avoidance, yet they are notoriously resistant to correction. Traditional financial literac…
One Size Fits None: Heuristic Collapse in LLM Investment Advice
Jillian Ross, Andrew W. Lo
Large language models are increasingly deployed as advisors in high-stakes domains -- answering medical questions, interpreting legal documents, recommending financial products --…
LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory
Jillian Ross, Yoon Kim, Andrew W. Lo
Humans are not homo economicus (i.e., rational economic beings). As humans, we exhibit systematic behavioral biases such as loss aversion, anchoring, framing, etc., which lead us t…