Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

Story

ByteDance Seed paper ties DeepSeek long-context swings to KV-cache phase sensitivity

AI summary

Per DoNews, ByteDance's Seed team posted an arXiv paper in late September 2026 arguing that "phase sensitivity" introduced by chunked KV-cache compression is the main driver of long-context retrieval fluctuations in DeepSeek-V4 series models. Covering open-weight models including DeepSeek-V4-Flash, V4-Pro and V4.1-Flash, the work says compression windows impose token phase coordinates, so the same information can be retrieved with accuracy differing by as much as 40 percentage points across phases — a periodic degradation that averaged benchmark scores tend to hide. The team calls for better cache-compression designs to improve long-context stability.

In-depth insight

If it holds, long-context evaluation and deployment need to track phase-dependent stability, not just average benchmark scores.

ByteDance SeedDeepSeekDeepSeek-V4-Flash

Original · 4 min readRead the original
Group chat

No comments yet. Start the conversation.