Sleep framework: A new way for LLMs to retain knowledge in continual learning
6 comments
- Points217
- Comments24
6 comments
https://arxiv.org/pdf/2606.03979
Story details from Hacker News ↗ · linked article on research.google.
Sleep framework: A new way for LLMs to retain knowledge in continual learning was first seen on Hacker News · Front page on Oct 30, 2026. Since then it has appeared in 60 checks on 2 different days. Its best position was #11 of 30, reached on Oct 30, 22:52 UTC. It dropped off the list after Oct 31, 10:22 UTC.
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> On-policy distillation: The expanded student model learns token-specific feedback from teacher distributions generated on self-sampled sequences. The weird thing is to see this based off the KV-Cache in the diagrams. Completely different from the Databricks RAFT [1]. My team built "Dreamtime" earlier this year [2],…
I know we just had the carbon announcement which was distinctly confusing, but comparatively I think that this is an exceptionally well-written article. I do believe that Google has some exceptional scientific minds as illustrated by their ability to take highly technical concepts and explain them in an…
I wonder how well this would translate with a much larger model. They ran the experiments with comparatively tiny models. You would presumably need to churn a lot more tokens to move the needle of a multi-trillion-parameter model's weights. It might just be that it's not that hard to improve Llama-3B and Llama 3-8B…
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Not at the moment. It was last on the list on Oct 31, 10:22 UTC, after 2 days of trending.
#11 on Hacker News · Front page, on Oct 30, 22:52 UTC. Trendoday checks this list every 15 minutes.
It was first seen on Oct 30, 2026 and has been on the list on 2 days (60 checks) since.
217 points and 24 comments; submitted by acossta on Oct 28, 2026.