arXiv AI By Simon Henniger, Gabriel Poesia

The Token Games: Evaluating Language Model Reasoning with Puzzle Duels

Read the original on arXiv AI →

The Token Games (TTG) is an evaluation framework that pits language models against each other by having them create and solve programming puzzles. Using pairwise duels and Elo ratings, the authors benchmarked ten frontier models, achieving rankings comparable to established tests while spending under $200 and requiring no human puzzle creation. The study highlights that generating high-quality puzzles remains difficult for current models and proposes a new paradigm for reasoning evaluation that also tests creativity and task creation.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Aug 17

The Metacognitive Bottleneck: Japanese Riddles Reveal Fundamental Limits of Machine Insight and Self-Evaluation in Reasoning AI

arXiv:2509. 14704v3 Announce Type: replace Abstract: Benchmark saturation and training-data contamination increasingly obscure whether reported gains in large language models (LLMs) reflect genuine advances in reasoning or familiarity with recurring patterns in benchmark problems.

By Masaharu Mizumoto, Dat Nguyen, Zhiheng Han, Xingfu Li, Yo Nakawake, Le Minh Nguyen