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Map-Guided Caching: A Global Perspective for Efficient Diffusion Transformer

Jiaqi Ji, Ran Yang, Bo Wei, Hui Li and 1 more

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

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57%Worth a look
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Rotation-Invariant Vector Normalization for Molecular Force Learning

Bum Jun Kim, Hyeyun Jeong

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
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57%Worth a look
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HalluciText: Mitigating Text Hallucinations in Diffusion-Based Image Restoration

Zhiming Hu, Angela Ye, Ran Zhang, Tristan T Aumentado-Armstrong and 6 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · 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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Heads That Write, Not Just Point: Image Retrieval Heads in Vision-Language Models

Junsung Park, Uiwon Hwang, Donghun Kang, Yeongtak Oh and 5 more

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

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AI panel: 0 of 20 reviewers recommend it
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What Sketches Tell Us about LVLMs: Conventions, Grounding, and Localisation

Chaitat Utintu, Ahmed Bourouis, ARKAPRABHA BASU, Yi-Zhe Song

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

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Sparsely Wired Mortal LLM Inference

Mincheol Park, Sunwoo Lee, Sukjin Lee, Wooram Yang and 3 more

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

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FlatClip: Reusing Image Foundation Models for fMRI Representation Learning via Cortical Flatmaps

Mo WANG, Wenhao Ye, Zihan Ning, Jiayu Zuo and 3 more

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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LLM Routing Through the Lens of Recommendation: A Roadmap for Efficient AI Orchestration

Yuchen Zhou, Boyu Wang, Di Wu

Sydney Poster Session 2, Tue, Dec 8, 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
67%Highly rated
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HetCCL: Efficient LLM Training on Heterogeneous Vendor GPUs

Heehoon Kim, Chris Jaehwan Lee, Taejeoung Kim, Jongwon Park and 5 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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Geometry-Aware Representation Denoising for Multi-view Image Restoration and 3D Reconstruction

Jin Hyeon Kim, Jaeeun Lee, Claire Kim, Kyoungjin Oh and 8 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
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86%Must read
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Universal Byte-Level Encoding: UTF-8/UTF-16 Routing to Reduce Cross-Script Token-Budget Disparities

Universal Byte-Level Encoding routes 3, 4 byte UTF-8 via UTF-16 to lower token counts for high-premium scripts without raising costs for efficient spans, reducing cross-lingual token-budget disparity while preserving model quality.

Hyunsik Kim, Youngmoon Jung

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · 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 5/5
medium 9/10
strict 0/5
74%Highly rated
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AVIS: Adaptive Test-Time Scaling for Vision–Language Models

AVIS introduces a per-query adaptive policy that jointly scales visual token pruning and reasoning rollouts to improve vision-language model accuracy-compute trade-offs.

Ahmadreza Jeddi, Minh Le, Amirhossein Kazerouni, Hakki Karaimer and 7 more

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

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
76%Highly rated
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Towards Direct Evaluation of Harness Optimizers via Priority Ranking

Priority ranking directly evaluates harness optimizers by ranking harness components via potential performance impact, correlating with multi-step optimization ability without costly rollouts.

Kai Ong, Minseok Kang, Dongwook Choi, Junhee Cho and 10 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
91%Must read
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Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing

Contrastive Decoding Diffing recovers verbatim implanted facts and pipeline artifacts via output-level logit differences without weight access, outperforming white-box methods 170x faster.

Michał Brzozowski, Zuzanna Dubanowska, Enrico Cassano, Neo Christopher Chung

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 9/10
strict 4/5