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Showing papers from The University of Melbourne Show all papers

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Contractive Restoring Flows: Robust Reasoning Distillation via Orbital Stability

Dongqi Zuo, Yuanyuan Wang, Chuan Zhou, Haoxuan 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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medium 0/10
strict 0/5
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Bayesian Causal Experimental Design for CATE Estimation under Noncompliance

Erdun Gao, Yuanyuan Wang, Liang Zhang, Yuhang Liu and 3 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
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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Dynamic Dual-Feedback Conformal Inference for Time Series Forecasting

Songlin Du, Ling Luo, Uwe Aickelin

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
57%Worth a look
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What Was That Again? Certified Robustness for Automatic Speech Recognition

Andrew Cullen, Neil Marchant, Jiani Xie, Paul Montague and 1 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
67%Highly rated
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Adversarial Risk in the Generative AI Era Necessitates Dropping the Small Epsilon Ball

Andrew Cullen, Neil Marchant, Paul Montague, Jiani Xie 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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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 0/5
medium 1/10
strict 1/5
67%Highly rated
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Towards Multi-Human-Value Alignment via Value Localization in LLMs

Xueqi Ma, Yanbei Jiang, Xingjun Ma, James Bailey and 1 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: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
67%Highly rated
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Out-of-Distribution Detection in Continual Learning

Nimeshika Udayangani Hewa Dehigahawattage, Sarah Erfani, Flora Salim, Christopher Leckie

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 1/10
strict 0/5
45%Niche pick
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Permute-then-Adapt: Weak-to-Strong Contrastive Image--Text Adaptation

Jinhao Li, Sarah Erfani, Lei Feng, Guangrui Li 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
lenient 0/5
medium 0/10
strict 0/5
88%Must read
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PhysGuard: Fisher-Guided Gradient Projection for Sim-to-Real Neural PDE Surrogates

PhysGuard uses Fisher-guided gradient projection to adapt neural PDE surrogates to real data while preserving physics-critical parameters, cutting low-frequency error by up to 32% under severe domain shift.

Changjian Zhou, Junfeng Fang, Negin Yousefpour, peng wu 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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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
80%Must read
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RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark

RAIL introduces a CHC-based benchmark evaluating LALMs across five auditory cognitive abilities, revealing highly uneven performance among 26 state-of-the-art models.

Hongyu Jin, Siyi Wang, Yang Xiao, Jiaheng Dong and 9 more

Published 2026 · ▲ 5 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
86%Must read
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Internal Safety Collapse in Frontier Large Language Models

Frontier LLMs suffer Internal Safety Collapse, generating harmful content during benign tasks with 95.3% failure rates and revealing alignment does not eliminate underlying risks.

Oscar W, Xiao Liu, Hanxun Huang, Yige Li and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 31 on Hugging Face · Code ★ 1,198

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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 8/10
strict 1/5
83%Must read
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VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation

VEX-Bench benchmarks verification complexity of LLM-generated misinformation, showing high-VEX false content costs 3-169x less to create than to verify and risks misallocating scarce screening resources.

Hanxun Huang, Oscar W, Qizhou Wang, Silvia Montaña-Niño and 8 more

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
78%Highly rated
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SVoT: State-aware Visualization-of-Thought for Spatial Reasoning via Reinforcement Learning

SVoT uses reinforcement learning to generate verifiable intermediate states and visualizations for multi-hop spatial reasoning, achieving up to 65% out-of-distribution accuracy gains.

Chao Lei, Yanbei Jiang, Markus Hiller, Zhijian Zhou and 3 more

Sydney Poster Session 5, Thu, Dec 10, 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 4/5
medium 6/10
strict 1/5
83%Must read
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Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts

Environment-induced diffusion shifts identify latent SDE coordinates and drift-Jacobian causal graphs up to permutation and scaling without sparsity assumptions.

Yuanyuan Wang, Wenjie Wang, Haoxuan Li, Mingming Gong 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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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 4/5