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LLM generalization

topic2 events
papersTODAY 04:00 UTC

arXiv paper examines midtraining stage as a way to control how LLM traits generalize

A new arXiv preprint explores whether midtraining, a stage between pretraining and post-training, can influence which behaviors a large language model carries forward. The authors propose a method called Inoculation Midtraining, which uses invented words to shape how desirable and undesirable properties generalize. The work is a research contribution and has not been peer reviewed.

papersSEP 10 04:00 UTC

Verified Code World Models Proposed to Cheaply Scale LLM Domain Generalization

A new paper examines how large language models can generalize in domains that lack abundant real, labeled examples. By expressing a domain's dynamics as code, the authors show a single template can instantiate many simulated world models whose executions yield verified training data. The goal is to manufacture generalization examples cheaply where real-world annotation is scarce.