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Showing papers from Department of Computer Science, Cornell University Show all papers

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Can 4D Foundation Models Remember?

Guangzhao He, Hadar Averbuch-Elor, Wei-Chiu Ma

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

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Towards Reconstructing Geographically Diverse Architecture with 3D Foundation Models

Aniket Kriplani, Yiwen Zhang, Angelina Wang, Hadar Averbuch-Elor

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

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Language Denoising Objectives Extend the Value of Limited Data

Justin Lovelace, Christian Belardi, Srivatsa R Kundurthy, Shriya Sudhakar and 1 more

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

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Contrastive Discovery: Open-Ended Scientific Discovery over Competing Explanations

Ziang Liu, James J Kim, Yijia Dai, Jennifer Sun

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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80%Must read
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QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems

QUTCC trains a U-Net for spatially adaptive quantile regression and calibrates tighter pixel-valid uncertainty intervals via non-linear conformal scaling for imaging inverse problems.

Cassandra T Ye, Shamus Li, Tyler King, Kristina Monakhova

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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83%Must read
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XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding

XL-DocBench introduces a human-verified benchmark for extra-long professional document understanding spanning thousands of pages with multi-page evidence, showing current systems still struggle with long-context structured reasoning.

Hongchen Wei, Yuanzhe Wang, Bei Liu, Yifan Yang and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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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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DocAtlas: Long-Document Understanding as Mutable-State Interaction

DocAtlas treats long-document understanding as a mutable-state interaction process via a document harness with search, memory, and review tools, reaching 71.4% on MMLongBench-Doc and boosting a 4B VLM to 63.7% via reinforcement learning.

Hongchen Wei, Yuanzhe Wang, Bei Liu, Yifan Yang and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 12

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
72%Highly rated
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Diffusion Models without Classifier-free Guidance

Model-guidance replaces classifier-free guidance by training on condition posterior probabilities, doubling inference speed and achieving 1.34 FID on ImageNet 256.

Zhicong Tang, Dong Chen, Jianmin Bao, Baining Guo

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 175

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 1/5
76%Highly rated
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SceneAligner: 3D-Grounded Floorplan Localization in the Wild

SceneAligner localizes images in large-scale floorplans by aligning 3D-reconstructed density proxies via adapted 2D foundation model correspondences, improving accuracy with sparse inputs.

Junhyeong Cho, Ruojin Cai, Hadar Averbuch-Elor

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 33

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5