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Understanding Jev-Style System One Models: Does Structure Reduce Selection Bias?

Paper recorded by Signals 4 on 2026-10-26 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-26 on arXiv · recorded by Signals 4 on 2026-10-27

Category: cs.CL · 自然语言处理 · first seen 2026-10-27

Abstract

Selection bias in large language models (LLMs) can persist despite instructions to ignore presentation order or prompts that elicit reasoning. Recent efforts to reproduce Jev-style System One behavior have produced a growing family of models that predict probabilities directly over supplied candidates. Yet systematic comparisons of selection bias across Jev versions, Jev reproductions, and generat

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#135 most recent of 660 cs.CL papers we have recorded · ↑ newer: Preserve to Expand: Source-Aware Adaptation and Model Merging for Mult · ↓ older: Quantifying Claim Smoothing by LLM Research Agents
Cite this page: Understanding Jev-Style System One Models: Does Structure Reduce Selection Bias?: the #135 most recent of 660 cs.CL papers we have recorded (as of 2026-10-26). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/understanding-jev-style-system-one-models-does-structure-reduce-selection-bias.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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