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78%Highly rated
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NeurIPS 2026StanfordJump TradingStanfordHallucination & factuality

Learning When to Trust LLM Priors: A Validated Framework for Semantic Prior Integration

Statsformer validates LLM semantic priors via out-of-fold calibration to adaptively integrate them across diverse predictors, guaranteeing performance at least as good as the best convex combination of candidates.

Erica Zhang, Naomi Sagan, Danny Tse, Fangzhao Zhang and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
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NeurIPS 2026YalePrincetonJump TradingIn-context learning & prompting

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs

Memory Inception steers LLMs by inserting text-derived KV banks at selected layers, improving control with up to 118× less storage than prompting.

Zeyi (Andy) Liu, Michael Zhang, Ilana Greenberg, Adam Alnasser and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5