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Benchmarking Candidate Coverage in Typed Decision Models

Paper recorded by Signals 4 on 2026-10-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-02 on arXiv · recorded by Signals 4 on 2026-10-05

Category: cs.CL · 自然语言处理 · first seen 2026-10-05

Abstract

Typed decision models return choices or distributions over answer options supplied at request time. Accuracy with complete options does not establish whether a model recognizes that a reference answer is missing or avoids rejecting valid candidates. We present a paired candidate-coverage benchmark protocol and an initial evaluation of Laya and Jev across AG News, DBpedia, Emotion, and TREC. The mo

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#345 most recent of 660 cs.CL papers we have recorded · ↑ newer: CLIMB: Confidence-Guided Complementary Evidence for Multimodal Retriev · ↓ older: Multilingual GSM-Symbolic: What determines capability transfer across
Cite this page: Benchmarking Candidate Coverage in Typed Decision Models: the #345 most recent of 660 cs.CL papers we have recorded (as of 2026-10-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/benchmarking-candidate-coverage-in-typed-decision-models.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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