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Showing papers from King Abdullah University of Science and Technology Show all papers

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OrbitLoRA: Learning Rotation-Aware Low-Data Adaptation of Vision Foundation Models

Yunlu Chen, Dominik Engel, Peter Wonka, Ivan Viola

Sydney Poster Session 1, Tue, Dec 8, 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
57%Worth a look
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Ask in the Crowd: Differentially Private LLM Inference via Dummy-Augmented Shuffling

Zhihao Liu, Zixiong Guo, Shuo Shao, Yu He and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 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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The Reflexivity Threshold: A Phase Transition for Multi-Agent Performative Prediction

Ahmed Mahrous, Roberto Di Pietro

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
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57%Worth a look
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Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures

Tyler Chang, Catherine Arnett, Abdelrahman Sadallah, Abdelrahman Eldesokey and 36 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 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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D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform

Jieke Wu, Qijie Zhu, Weimin Wu, Zeqi Ye and 2 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
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89%Must read
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ReefNet: A Large-Scale Dataset and Benchmark for Fine-Grained Coral Reef Recognition

ReefNet provides ~925K genus-level coral annotations and benchmarks showing vision models degrade under zero-shot and cross-source shifts despite adaptation gains.

Abdulwahab Felemban, Yahia Battach, Faizan F Khan, Yuqian Fu and 12 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
78%Highly rated
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LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging

LOSCAR-SGD combines local SGD, sparse communication, and overlap with a delay-corrected merge for heterogeneous workers, yielding convergence guarantees and faster training.

Peter Richtarik, Yassine Maziane, Ammar Mahran, Artavazd Maranjyan

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

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
88%Must read
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GridProbe: Posterior-Probing for Adaptive Test-Time Compute in Long-Video VLMs

GridProbe scores frame evidence via frozen VLM answer-space probing and adaptive selection to reduce long-video attention costs with minimal accuracy loss. It matches monolithic baselines on Video-MME-v2 at 3.36x lower compute and Pareto-dominates baselines on LongVideoBench.

Mohamed Eltahir, Ayash, Ali Habibullah, Tanveer Hussain and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 2

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 1/5
91%Must read
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CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations

CardioLens evaluates MLLMs on multi-sequence cardiac MRI, revealing poor clinical workflow performance and category-collapse failures despite reasoning prompts and slice selection.

Zixian Su, Hongkai Zhang, Fan Gao, Encheng Su and 11 more

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

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 5/5
78%Highly rated
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SETA: Scaling Environments for Terminal Agents

SETA scales verifiable terminal RL environments via synthesis and evolution, yielding 4,500+ tasks and boosting 8B terminal-agent pass rates to 12%.

Qijia Shen, Zhiqi Huang, Vamsidhar Kamanuru, Aznaur Aliev and 14 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · 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 5/10
strict 1/5
80%Must read
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LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation

LithoBench evaluates large multimodal models on remote-sensing lithology interpretation via expert-annotated multi-level tasks, revealing substantial limitations in geological reasoning.

jun wang, Fengpeng Li, Tianjin Huang, Hang Dong and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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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 5/10
strict 2/5