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Alexander Duffy

2 accepted papers

2026

Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy

AAAI 2026technical

We present the first evaluation harness that enables any out-of-the-box, local, Large Language Models (LLMs) to play full-press Diplomacy without fine-tuning or specialized training. Previous work required frontier LLMs, or fine-tuning, due to the high complexity and information density of Diplomacy

Cited by 0SourcePDFScholar
2026

MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games

ICML 2026poster

Multi-turn, multi-agent LLM game evaluations often exhibit substantial run-to-run variance. In long-horizon interactions, small early deviations compound across turns and are amplified by multi-agent coupling, biasing win rate estimates and destabilizing comparative rankings across repeated tourname…

Cited by 0SourcecodeScholar