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Showing papers from University of California Berkeley Show all papers

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Approximation Algorithms for GPU Pricing under Finite Capacity

Yaolong Yu, Hanrui Zhang, Zeyu Zheng, Kirthevasan Kandasamy

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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57%Worth a look
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Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties

Jixuan Ying, Haoyu Liu, Timing Yang, Tingyu Zhu and 6 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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When Does Interaction Help? Representational Tradeoffs in Value-Based Imitation Learning

Luca Viano, Antoine Moulin, Audrey Huang, Volkan Cevher and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
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45%Niche pick
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Fast Accurate Quantum Monte Carlo without Metropolis Adjustment

Reuben Cohn-Gordon, Gabriel Pescia, Sumner N Hearth, Jakob Robnik and 2 more

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

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
strict 0/5
67%Highly rated
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GPT-Image-Edit-1M: An Auditable Million-Scale Dataset for Instruction-Guided Image Editing

Yuhan Wang, Siwei Yang, Bingchen Zhao, Letian Zhang and 7 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 1/5
57%Worth a look
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Finetuning with Sampling: Make SFT Generalize, Not Forget

Aayush Karan, Sitan Chen, Yilun Du

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

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lenient 1/5
medium 0/10
strict 0/5
80%Must read
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ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow

ODEWorld learns continuous latent velocity fields via ODEs to enable arbitrary-resolution world modeling, solving representation collapse and excelling at video generation and robotic control.

Dongxiu Liu, Haoyi Niu, Peng Cheng, Yuan Gao and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 14 on Hugging Face · Code ★ 62

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
72%Highly rated
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Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space

NLAC trains LLM agents with a natural-language generative critic for off-policy learning, yielding richer feedback and more stable, data-efficient training than policy gradients in long-horizon tasks.

Joey Hong, Kang Liu, Zhan Ling, Jiecao Chen and 1 more

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

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
76%Highly rated
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Learning to Recommend in Unknown Games

Quantal-response feedback yields logarithmic sample-complexity utility learning up to affine equivalence, while best-response feedback permits only partial identification; an online algorithm achieves low deviation-regret under both models.

Arwa Alanqary, Zakaria Baba, Manxi Wu, Alexandre Bayen

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

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 3/5