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Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization

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

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

Category: cs.AI · 人工智能 · first seen 2026-09-10

Abstract

The growing complexity of content moderation policies presents a critical challenge for their consistent operationalization. While foundation models possess the basic capabilities needed to confront this challenge, whether they can reliably moderate online content remains an unanswered question. In this paper, we systematically compare two competing paradigms for Vision-Language Model (VLM) guidan

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#129 most recent of 300 cs.AI papers we have recorded · ↑ newer: Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Pers · ↓ older: MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment A
Cite this page: Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization: the #129 most recent of 300 cs.AI papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-foundation-models-moderate-online-content-evaluating-instruction-vs-example-.html
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