2 citations · 2 across the 6 of their papers we have counts for
10 papers
Fair Like Us? Auditing LLM Alignment in Resource Allocation
Qishen Han, Hadi Hosseini, Joshua Kavner +3
Fair allocation of scarce, indivisible resources is an important challenge in many societal problems. While there are several formal theories of fairness, no single definition can…
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…
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…
Bridging Theory and Perception in Fair Division: A Study on Comparative and Fair Share Notions
Hadi Hosseini, Joshua Kavner, Samarth Khanna +2
The allocation of resources among multiple agents is a fundamental problem in both economics and computer science. In these settings, fairness plays a crucial role in ensuring soci…
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…
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…
Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values
Hadi Hosseini, Samarth Khanna
The growing interest in employing large language models (LLMs) for decision-making in social and economic contexts has raised questions about their potential to function as agents…
Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
Samarth Khanna, Sree Bhattacharyya, Sudipto Ghosh +2
The exponential growth in scale and relevance of social networks enable them to provide expansive insights. Predicting missing links in social networks efficiently can help in vari…