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Showing papers from Washington State University Show all papers

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NeurIPS 2026Washington StateUncertainty & calibration

A Latent-Load Framework for Reliability Analysis and Intervention Design in LLM Pipelines

Yuanjie Shi, Yan Yan

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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57%Worth a look
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NeurIPS 2026A*STARWashington StateRL for LLMs

When Scores Conflict with Preferences: Calibrated Drift Control for Heterogeneous DPO

Ping Liu, Yan Yan

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
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strict 0/5
57%Worth a look
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NeurIPS 2026Washington StateHanoi University of Science and U Texas at AustinPennsylvania StateWashington State University, PulPhysics-informed ML & PDEs

CoupledFlow: One-Step Neural Operators for Coupled Multi-Physics PDEs

Trong Khiem Tran, Long M Bui, Phi Le Nguyen, Mrinal K Sen and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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83%Must read
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NeurIPS 2026U Illinois Urbana-ChampaignWashington StateVinmec Times City International VinUniversityHanoi University of Science and Efficient & distributed training

Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation

NICER reformulates whole-slide image condensation as nonparametric distribution matching, improving self-supervised learning accuracy by 7.44% over heuristic methods.

Duong Nguyen, Nghia Hoang, Hang T Nguyen, Thanh Trung Huynh and 2 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · 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 6/10
strict 2/5
86%Must read
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NeurIPS 2026U FloridaNorth Carolina StateWashington StateSeoul National University of SciPrivacy

Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning

PromptMIA uses adversarial soft prompts to exploit federated prompt-tuning updates for highly effective membership inference attacks that bypass standard defenses.

Quan M Nguyen, Min-Seon Kim, Hoang M Ngo, Nghia Hoang and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 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 4/5
medium 7/10
strict 3/5