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Showing papers from Australian National University Show all papers

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Generalised Linear Models in Deep Bayesian RL with Learnable Basis Functions

Jingyang You, Hanna Kurniawati

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

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57%Worth a look
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Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Image Generation

Jinmei Liu, Haoru Li, Zhenhong Sun, Chaofeng Chen and 5 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
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Transductive Generalization for GNNs via Optimal Transport

MoonJeong Park, Seungbeom Lee, Kyungmin Kim, Jaeseung Heo and 4 more

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

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Distilling Graph Geometry: Knowledge Gap from GNNs to MLPs

Zhewei Chen, Hao Zhu, Jiaojiao Jiang, Ahad N. Zehmakan

Sydney Poster Session 4, Wed, Dec 9, 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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67%Highly rated
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Chain-of-Thought Oversight Should Not Treat Faithfulness as Monitorability

Sichao Li, Sai Ma, Xiyang Hu, Chudi Zhong 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: 2 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 1/5
57%Worth a look
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Reading Attribution from Attention: Evidence Heads as Latent Attribution Mechanisms in LLMs

Qi Wu, Jianfeng Qu, Peng-Fei Zhang, Yanzhe Ji 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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RoMo Hands: A Large Scale Richly Organized Text to Hand Motion Dataset

Yizhak Ben-Shabat, Jiahao Zhang, Joseph Liu, Seonghyeon Moon and 4 more

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

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When Depth Lies: Benchmarking Vision-Language Models on Mirror-Induced RGB-D Ambiguity

HAO YIN, Tianchen Guo, Heming Du, Yan Ke and 2 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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Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference

Siva Rajesh Kasa, Yasong Dai, Sumit Negi, Hongdong Li

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

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lenient 1/5
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DynaProto: Dynamic Prototypical Contrast for Temporally Consistent Object-Centric Learning

Tianran Ouyang, Peiqin Xu, Xingping Dong, Kaihao Zhang and 1 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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GWScore: A structural diversity metric for consistent text-to-image generation

Francis Snelgar, Stephen Gould, Liang Zheng, Akshay Asthana

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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70%Highly rated
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From Cursed to Competitive: Closing the ZO–FO Gap via Input-to-State Stability

Using input-to-state stability, zeroth-order optimization achieves first-order convergence rates without extra dimension dependence when perturbations are small.

Amir Ali Farzin, Philipp Braun, Iman Shames

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

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AI panel: 5 of 20 reviewers recommend it
lenient 1/5
medium 3/10
strict 1/5
86%Must read
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NORA: Evaluating Grounded Reasonableness in Visual First-person Normative Action Reasoning

NoRA evaluates visual first-person normative reasoning by requiring models to generate actions with fact-reason-action support graphs, revealing current VLMs struggle to bind correct justifications to actions.

Sichao Li, Sai Ma, Zhuang Li, Daniel Kilov 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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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
76%Highly rated
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LensDesigner: A Self-Improving Agent for Optical Lens Design

LensDesigner is a self-improving autonomous agent that uses retrieval, simulation, and curriculum learning to design optical lenses, significantly outperforming baselines on 120 diverse tasks.

Lei Sun, Haoran Liang, Dannong Xu, Yao Gao 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: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
91%Must read
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Improved Baselines with Representation Autoencoders

Using summed last-k encoder layers and combining RAE with REPA, RAEv2 achieves state-of-the-art gFID of 1.06 in 80 epochs with 10x faster convergence and free guidance.

Jaskirat Singh, Boyang Zheng, Zongze Wu, Richard Zhang and 2 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 3/5
medium 10/10
strict 4/5
76%Highly rated
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FinMTM: A Multi-Turn Multimodal Benchmark for Financial Reasoning and Agent Evaluation

FinMTM introduces a bilingual multi-turn multimodal benchmark with 11,133 financial visual QA pairs to evaluate vision-language models on reasoning and agent tasks, revealing significant limitations in fine-grained perception and complex workflows.

Chenxi Zhang, Ziliang Gan, Liyun Zhu, Youwei Pang and 2 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: 10 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 2/5
76%Highly rated
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NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training

NuMuon adds a nuclear-norm constraint to Muon updates, boosting weight compressibility and post-compression quality in billion-parameter LLMs while preserving convergence.

Hadi Mohaghegh Dolatabadi, Thalaiyasingam Ajanthan, Sameera Ramasinghe, Chamin Hewa Koneputugodage and 6 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 1/5
74%Highly rated
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AsyncMesh: Fully Asynchronous Optimization for Data and Pipeline Parallelism

AsyncMesh enables fully asynchronous data and pipeline parallelism via weight look-ahead and sparse averaging to reduce communication overhead while matching synchronous training performance.

Thalaiyasingam Ajanthan, Sameera Ramasinghe, Gil Avraham, Hadi Mohaghegh Dolatabadi and 4 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: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
72%Highly rated
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Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds

Look-Before-Move separates observation specification from motion execution for narrative-grounded camera planning, improving subject perception, intent consistency, and trajectory quality over baselines.

Jiaming Bian, Bingliang Li, Yuehao Wu, Pichao WANG and 4 more

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

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
80%Must read
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Communication-Efficient LLM Adaptation over Decentralized GPU Meshes

An asynchronous two-circuit system with spectral correction enables compressed LLM adaptation over decentralized GPUs, yielding up to 40× speedups with dense-level accuracy.

Sameera Ramasinghe, Shamane Siriwardhana, Thalaiyasingam Ajanthan, Hadi Mohaghegh Dolatabadi and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · 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 3/5
medium 7/10
strict 2/5
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