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title: "Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models — Stuff That Spins"
description: "arXiv:2607.02914v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated remarkable capabilities across diverse applications, yet ensurin…"
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date: "2026-07-07T04:00:00+00:00"
modified: "2026-07-07T06:03:18.436004+00:00"
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# Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models

**Source:** Unknown  
**Published:** July 7, 2026  
**Original:** https://arxiv.org/abs/2607.02914  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.02914v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated remarkable capabilities across diverse applications, yet ensuring their simultaneous safety, helpfulness, and trustworthiness remains a persistent challenge. Conventional refusal-oriented alignment strategies mitigate harmful content generation but systematically fail to serve legitimate user needs, often withholding information that could safely and constructively address the underlying intent of sens

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