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Can Language Models Play the Wikipedia Game?

Paper recorded by Signals 4 on 2026-10-09 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-09 on arXiv · recorded by Signals 4 on 2026-10-12

Category: cs.AI · 人工智能 · first seen 2026-10-12

Abstract

Language models increasingly support or automate information retrieval from document collections too large to index. This task is difficult when it requires specialist linguistic or scientific knowledge. We used the Wikipedia Game to test language models on an analogous information retrieval task. In the game, players must reach a target article using only article links. We compared sentence embed

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#341 most recent of 960 cs.AI papers we have recorded · ↑ newer: Pack Light, CarryOn: Building Object-Oriented Context for Long-Horizon · ↓ older: Hide and Seek: HIDE Concepts to SEEK explanations for black box models
Cite this page: Can Language Models Play the Wikipedia Game?: the #341 most recent of 960 cs.AI papers we have recorded (as of 2026-10-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-language-models-play-the-wikipedia-game.html
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