Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories
Paper recorded by Signals 4 on 2026-09-01 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-01 on arXiv · recorded by Signals 4 on 2026-09-02
Category: cs.AI · 人工智能 · first seen 2026-09-02
Abstract
We evaluate embedding retrieval where surface form and meaning are pulled apart on purpose: retrieving items that share underlying structure but not wording, in two unrelated domains under one protocol, competition mathematics (MathNet-Retrieve; 500 queries, 117,088-item corpus) and embodied-agent trajectories (ALFWorld-derived; 118 queries, 336 trajectories). In mathematics the failure is complet
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Cite this page: Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories: the #231 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/retrieved-but-not-ranked-surface-form-bias-in-structural-retrieval-from-mathemat.html
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