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Showing papers from University of California Riverside Show all papers

45%Niche pick
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NeurIPS 2026U ChicagoU Southern CaliforniaU California RiversideNVIDIAU TorontoLLM evaluation & benchmarks

Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?

Miaosen Chai, Wang Bill Zhu, Shangshang Wang, Yejia Liu and 4 more

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

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medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026PurdueAmazon AGIU California RiversideAmazonMachine unlearning

Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models

Gaurav Patel, Jun Fang, Greg Ver Steeg, Qiang Qiu and 1 more

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

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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
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83%Must read
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NeurIPS 2026U California, RiversideNew YorkUCRVector InstituteU California RiversideLLM pretraining & scaling laws

Discrete Stochastic Localization for Non-autoregressive Generation

Discrete stochastic localization uses unit-sphere embeddings with SNR-invariant denoisers to enable flexible continuous-state non-autoregressive generation with improved fidelity and hybrid sampling.

Yunshu Wu, Jiayi Cheng, Longxuan YU, Partha Thakuria and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 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 2/5
medium 9/10
strict 2/5