update-knowledge-synthetic-news-mid-training-plus-abstention TEC-0222 · proposedUpdate knowledge by synthetic news mid-training plus abstent
A teacher model turns a new-event knowledge graph into long-form synthetic news articles for next-token mid-training, plus preference pairs that reward chain-of-thought answers and punish outdated values, hallucinations, and unwarranted abs
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
A teacher model turns a new-event knowledge graph into long-form synthetic news articles for next-token mid-training, plus preference pairs that reward chain-of-thought answers and punish outdated values, hallucinations, and unwarranted abs Filed by the drafting stage from Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs (2609.00184) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: QA accuracy on the ParallelEvents benchmark (single-hop, multi-hop, causal) after inserting 542 facts: 73.67% (LLaMA-3.1), 64.92% (Olmo-3), 79.07% (Gemma-3) versus best in-context baseline IKE at 63.32/57.73/53.73%, graph-retrieval baselines at 17.09%, and LoRA/single-layer tuning at 12.02%; paired bootstrap significance; general-ability checks on MMLU-Pro, PopQA, IFEval, IFBench; portability check on MQuAKE-Remastered. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.
No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.
Code
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Sources
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