5 papers
Same Game, Different Story: A Minimal Conservative Strategic Robustness Benchmark for Large Language Model Agents
Seyed Pouyan Mousavi Davoudi, Alireza Amiri-Margavi, Amin Gholami Davodi +2
Large language model (LLM) agents increasingly operate in strategic settings where outcomes depend on the actions of other agents. This raises a reliability question: will a model…
Do Large Language Model Voters Strategize? An Oracle-Based Benchmark for Manipulation under Voting Rules
Seyed Pouyan Mousavi Davoudi, Alireza Amiri-Margavi, Amin Gholami Davodi +2
Strategic voting is a canonical failure mode for collective choice: a voter may obtain a more preferred outcome by reporting a ballot that differs from its true preferences. This p…
Truthful AI Advisors: A Pre-Specified Benchmark for Large Language Model Honesty Under Preference Misalignment
Hamidreza Hasani Balyani, Seyed Pouyan Mousavi Davoudi, Alireza Amiri-Margavi +2
Large language models are increasingly deployed as advisors whose objective is not aligned with the user's: recommenders optimize for engagement, sales assistants for purchases, ne…
Knot complements decomposing into prisms
Jason DeBlois, Arshia Gharagozlou, Neil R Hoffman
We describe four hyperbolic knot complements in , each of which covers a prism orbifold: the quotient of by the action of a discrete group generated by…
Equal Access, Unequal Interaction: A Counterfactual Audit of LLM Fairness
Alireza Amiri-Margavi, Arshia Gharagozlou, Amin Gholami Davodi +2
Prior work on fairness in large language models (LLMs) has primarily focused on access-level behaviors such as refusals and safety filtering. However, equitable access does not ens…