Signals 4 · free daily AI digest

Game Arena: Strategic LLM Evaluation in Competitive Environments

Paper recorded by Signals 4 on 2026-09-25 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.AI · 人工智能 · first seen 2026-09-28

Abstract

We introduce Kaggle Game Arena, an open and ever-expanding platform to evaluate large language models (LLMs) through competitive games. Different from static benchmarks, game arena enables models to play head-to-head matchups in structured environments where the gameplay strength naturally increases as models evolve, preventing performance saturation. This technical report details the infrastructu

Read on arXiv →

#15 most recent of 420 cs.AI papers we have recorded · ↑ newer: "AI is (not) the new...": A Diagnostic Analogy Framework for Generativ · ↓ older: PriceBench: A Diagnostic Benchmark for Price, Quality, and Brand Prefe
Cite this page: Game Arena: Strategic LLM Evaluation in Competitive Environments: the #15 most recent of 420 cs.AI papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/game-arena-strategic-llm-evaluation-in-competitive-environments.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.AI papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions