Predicting Rare LLM Failures with 30× Fewer Rollouts - 惯性聚合

推荐订阅源

Apple Machine Learning Research

Java Code Geeks

让小产品的独立变现更简单 - ezindie.com

freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

Last Week in AI

博客园_首页

美团技术团队

奇客Solidot–传递最新科技情报

Proofpoint News Feed

Google DeepMind News

The Cloudflare Blog

钛媒体：引领未来商业与生活新知

Microsoft Security Blog

大猫的无限游戏

Engineering at Meta

Netflix TechBlog - Medium

Microsoft Azure Blog

博客园 - 叶小钗

Goodfire Research

Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation Steering Along Manifolds to Control Neural Networks Uncovering Neural Geometry in Vision Models With Block-Sparse Featurizers Uncovering Neural Geometry in Vision Models With Block-Sparse Featurizers Meandering on Manifolds: The Neural Geometry of Stories Over Time The Neural Geometry Series Can SAEs Capture Neural Geometry? A Geometric Calculator Inside a Neural Network Meandering on Manifolds: The Neural Geometry of Stories Over Time Interpreting Language Model Parameters Predictive Data Debugging: Reveal and Shape What Your Model Learns, Before You Train Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Predictive Data Debugging: Reveal and Shape What Your Model Learns, Before You Train Logits as a new monitor for evaluation awareness Predicting Rare LLM Failures with 30× Fewer Rollouts Logits as a new monitor for evaluation awareness The Shape of Stories Inside Neural Networks Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Can SAEs Capture Neural Geometry? Steering Along Manifolds to Control Neural Networks A Geometric Calculator Inside a Neural Network The Neural Geometry Series The World Inside Neural Networks The World Inside Neural Networks Verbalized Eval Awareness Inflates Measured Safety Verbalized Eval Awareness Inflates Measured Safety Paper Summary: Interpreting Language Model Parameters Paper Summary: Interpreting Language Model Parameters Interpreting Language Model Parameters Probe-Based Data Attribution: Surfacing and Mitigating Undesirable Behaviors in LLM Post-Training

Predicting Rare LLM Failures with 30× Fewer Rollouts

Santiago Aranguri, Francisco Pernice, · 2026-06-11 · via Goodfire Research

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。