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A Unified Arena for LLM Agents across Diverse Eurogame

Paper recorded by Signals 4 on 2026-10-26 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-26 on arXiv · recorded by Signals 4 on 2026-10-27

Category: cs.AI · 人工智能 · first seen 2026-10-27

Abstract

Interactive environments offer a practical way to evaluate large language model (LLM) agents, and competitive games extend this evaluation to decisions shaped by competing goals and other agents' choices. Yet existing evaluations confined to individual games or execution frameworks leave unclear which competitive advantages persist across settings. We introduce DECE (Diverse Eurogame Competitive E

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#151 most recent of 960 cs.AI papers we have recorded · ↑ newer: Game theory of academic effort and hiring in the age of AI · ↓ older: Free to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Cr

Cite this page: A Unified Arena for LLM Agents across Diverse Eurogame: the #151 most recent of 960 cs.AI papers we have recorded (as of 2026-10-26). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-unified-arena-for-llm-agents-across-diverse-eurogame.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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