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Showing papers from TTI-Chicago Show all papers

45%Niche pick
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NeurIPS 2026Toyota Technological Institute aU FloridaTTI-ChicagoOffline RL

Compose Your Oracles: Off Policy Improvement with Aggregated Guidance

Jingtian Ji, Xuefeng Liu, Matthew Walter

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 0/5
medium 0/10
strict 0/5
86%Must read
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NeurIPS 2026U ChicagoToyota Technological Institute aAllen Institute for AITTI-ChicagoStony BrookEfficient inference & serving

Distilling Sequential Computation in Transformer Language Models

A lightweight merge module replaces token spans with surrogate embeddings, cutting Transformer sequence lengths by up to 40% with minimal accuracy loss and no retraining.

Zixuan Lan, Jessica Yang, Yanhong Li, Karen Livescu and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5