Good Papers

Showing papers from DARPA; University of Colorado Boulder Show all papers

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Search-Augmented Masked Diffusion Models for Constrained Generation

SearchDiff integrates informed search into masked diffusion denoising to enforce hard constraints and optimize non-differentiable properties at inference time without retraining, outperforming discrete diffusion and autoregressive baselines.

Huu Binh Ta, Michael Cardei, Alvaro Velasquez, Ferdinando Fioretto

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · 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 5/5
medium 6/10
strict 0/5
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Robust Nash Alignment under Preference Uncertainty

Robust Nash Alignment optimizes policies via a four-player game against uncertain preference kernels, yielding certified worst-case bounds and near-optimal convergence.

Shihab Ahmed, Debamita Ghosh, David Tang, Yudan Wang and 2 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · 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 4/5
medium 6/10
strict 3/5