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Showing papers from Royal Melbourne Institute of Technology Show all papers

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Preventing Error Cascades in Long-Horizon Multimodal Agents with Edge-Reliability Graph Memory

Saman Forouzandeh, Wei Peng, Xinghuo Yu, Mahdi Jalili

Sydney Poster Session 3, Wed, Dec 9, 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
67%Highly rated
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What Should Remain After Forgetting? Rethinking LLM Unlearning as Predictive Posterior Correction

Jingyue Cong, Andy Song, Alexis Horde-Vo, Kai Wei and 4 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 1/5
medium 1/10
strict 0/5
67%Highly rated
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Why Are LLMs Confidently Wrong? Correcting Overconfident Errors via Causal Head Intervention

Jing Ren, Bowen Li, Ziqi Xu, Xuechao Yang 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
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
71%Highly rated
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Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation

The Embodied Neurocomputation framework optimizes biological neural network encoding for closed-loop navigation, identifying 12 configurations that outperform silicon DQN agents under identical interaction budgets.

Johnson Zhou, Daniel Tanneberg, Forough Habibollahi, Alon Loeffler and 11 more

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

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it
lenient 4/5
medium 1/10
strict 1/5
91%Must read
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The Commit-Abstain Circuit: Why Language Models Hallucinate Instead of Abstaining

Mechanistic analysis reveals a Commit-Abstain Circuit where early commitment signals overpower later abstention corrections, causing hallucinations; training on its activations improves abstention accuracy by 12.2 points.

Gavin Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · 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 4/5
medium 9/10
strict 4/5
91%Must read
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The BatchNorm Illusion: Diagnosing Normalization Artifacts in Machine Unlearning Evaluation

BatchNorm running statistics artificially inflate unlearning metrics by up to 78 points, which a weight-preserving forward pass reverses without changing weights.

Aaryaman Kalani, Murari Mandal, Dhruv Kumar, Mohan Kankanhalli and 1 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: 17 of 20 reviewers recommend it
lenient 3/5
medium 10/10
strict 4/5
83%Must read
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UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning

UFO proposes a flow-oriented continual graph learning framework that combats catastrophic forgetting and noisy-label-induced catastrophic remembering via generative replay and instance reliability scoring, outperforming baselines across benchmarks.

Danhui Zhang, Zhe Wang, Qing Qing, Jiarui Liu and 5 more

Sydney Poster Session 1, Tue, Dec 8, 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 5/5
medium 8/10
strict 0/5