TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

ZebraLogic: On The Scaling Limits Of LLMs For Logical Reasoning

1 点作者 optimalsolver3 个月前

1 comment

liamdgray3 个月前
Thanks for posting this. I had just ran across this one and wondered if I should post it myself. Came here to see if someone had. I&#x27;d gone looking for this after reading about DeepScaleR yesterday.<p>I&#x27;m excited about the prospect of using formal methods to generate, analytically (not via LLM), synthetic problem+solution sets of perfect quality, of progressive size &amp; complexity, for training; and then using RL, with progressive scaling, as in DeepScaleR.