8 papers
Preference Reasoning under Indeterminacy in Large Language Models
Hadi Hosseini, Samarth Khanna, Xiyuan Wang
As large language models evolve into decision-making agents, the ability to reason over preferences becomes fundamental to alignment, coordination, and collective intelligence. Yet…
The Judgment-Consequence Gap: LLM Moral Reasoning in Healthcare Decisions
Hadi Hosseini, Samarth Khanna, Leona Pierce
As large language models (LLMs) enter high-stakes domains such as healthcare, understanding their moral reasoning becomes essential. Decisions about scarce medical resources often…
Beyond Confidence: Rethinking Self-Assessments for Performance Prediction in LLMs
Sree Bhattacharyya, Samarth Khanna, Leona Chen +3
Large Language Models (LLMs) are increasingly used in settings where reliable self-assessment is critical. Assessing model reliability has evolved from using probabilistic correctn…
Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values
John P. Dickerson, Hadi Hosseini, Samarth Khanna +1
The rapid integration of Large Language Models (LLMs) in high-stakes decision-making -- such as allocating scarce resources like donor organs -- raises critical questions about the…
Strategic Algorithmic Monoculture: Experimental Evidence from Coordination Games
Gonzalo Ballestero, Hadi Hosseini, Samarth Khanna +1
AI agents increasingly operate in multi-agent environments where outcomes depend on coordination. We distinguish primary algorithmic monoculture -- baseline action similarity -- fr…
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences
Hadi Hosseini, Samarth Khanna, Ronak Singh
The rise of Large Language Models (LLMs) has driven progress in reasoning tasks -- from program synthesis to scientific hypothesis generation -- yet their ability to handle ranked…