Good Papers

Showing papers from Deakin University Show all papers

45%Niche pick
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FalconPerception-HD: High Density Perception via Reinforcement Learning

Sofian Chaybouti, YASSER ABDELAZIZ DAHOU DJILALI, Ngoc D Huynh, REDA ALAMI and 1 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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ShadowFPT: Backdooring Federated Prompt Tuning via Shadow Triggers

Kun Zhai, Teng Li, Yunhao Feng, Xingjun Ma

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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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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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
45%Niche pick
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SteerCast: Retrieval-Based Latent Steering for Decoder-Only Time Series Forecasting

Van Dai Do, Huu H Nguyen, Minh Hoang Nguyen, Hung Le

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
lenient 0/5
medium 0/10
strict 0/5
86%Must read
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StiCAS: Compositional Activation Steering via Stiefel Manifold Coordinate Transport

StiCAS learns orthogonal concept subspaces via Stiefel optimization so compositional activation steering achieves exact commutativity and doubles multi-concept success.

Toan Doan, Thin Nguyen, Sunil Gupta

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 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 4/5
medium 8/10
strict 2/5
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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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
86%Must read
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Why Jailbreaks Succeed in Diffusion Language Models: An Energy Landscape Analysis

Safety alignment shapes diffusion language models' denoising energy barriers, and three complementary kinetic-energy signals detect jailbreaks by forcing attacks to reveal intent or expend detectable cross-barrier energy.

Thong Bach, Dung Nguyen, Thao Le, Truyen Tran

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

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
86%Must read
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BSO: Safety Alignment Is Density Ratio Matching

BSO recasts safety alignment as density ratio matching via Bregman divergence minimization, yielding a single-stage loss that improves the safety-helpfulness trade-off without auxiliary models.

Tien-Phat Nguyen, Truong Nguyen, Thin Nguyen, Duy M. H. Nguyen 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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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 2/5