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Showing papers from University of New South Wales Show all papers

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On the Price of Privacy for Language Identification and Generation

Xiaoyu Li, Andi Han, Jiaojiao Jiang, Junbin Gao

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

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57%Worth a look
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PACO: Partial-order-Augmented Continuous Optimization for Differentiable Causal Discovery

Xiaoxuan Li, Junda Wu, Julian McAuley, Lina Yao 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: 1 of 20 reviewers recommend it
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The Geometry of Agent Skills: Non-Commutative Composition in Representation Space

Junda Wu, Yifan Wang, Zihan Huang, Xunyi Jiang and 5 more

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

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Robust Residual Correction via Selective Deployment for Time Series Forecasting

Jianxiang Xie, YUNCHENG HUA, Mingyue Cheng, Flora Salim 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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Intent2CAD: How Semantic-Parametric Supervision Shapes Text-to-CAD Generation

Jinbo Yang, Shikai Jing, Mingyue Yuan

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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Test-Time Prompt-Agnostic Decomposition

Junze Wang, Lei Fan, Dezheng Zhang, Donglin Di 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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ChronosAlign: A Large-Scale, Updatable Benchmark for Decomposing Temporal Alignment in LLMs

Sanjay Govindan, Maurice Pagnucco, Yang Song

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

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Stage-Aware Dual Alignment for Covariate Shift in Graph Domain Adaptation

Hongwei Wen, Can Zhang, Haoyu He, Xintao Zhao and 2 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
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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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DIGS: Distribution-Informed Gaussian Splatting for Training-Free Open-Vocabulary 3D Segmentation

ZHIFAN ZENG, Wenbo Xiao, Arcot Sowmya, Changming Sun

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

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lenient 1/5
medium 0/10
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Beyond Langevin: Sampling Multimodal Densities using the Witten Laplacian on 1-forms

Sahani Pathiraja, Panos Parpas

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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88%Must read
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FOGO: Forgetting-aware Orthogonalization Optimizer

FOGO detects and resolves gradient interference via spectral orthogonalization and compact codebook memory to prevent dominant directions from suppressing rare updates, improving convergence and retention across continual and standard training.

Toan Nguyen, Yang Liu, Trung Le, Celso de Melo 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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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
78%Highly rated
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ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation

ProCTI retrieves global dataset prototypes to augment local conditioning in diffusion-based time series imputation, improving accuracy under sparse or noisy missingness with theoretical guarantees.

Fariza Rashid, Duc Van Le, Rahat Masood, Gustavo E Batista and 2 more

Sydney Poster Session 1, Tue, Dec 8, 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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DoAtlas-1: A Causal Compilation Paradigm for Clinical AI

DoAtlas-1 introduces causal compilation to convert medical evidence into executable causal estimands, achieving 98.5% canonicalization accuracy and 80.5% query executability across 1,445 effect kernels.

Yulong Li, Jianxu Chen, Xiwei Liu, Chuanyue Suo and 7 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 7/10
strict 1/5
76%Highly rated
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BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction

BrainVista models brain dynamics via multimodal next-token prediction with network tokenizers and stimulus masking, achieving state-of-the-art fMRI encoding and up to 36% better long-horizon rollout correlations.

Xuanhua Yin, Ted Zhao, Lina Yao, Weidong Cai

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

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5
91%Must read
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TRACE: Tourism Recommendation with Accountable Citation Evidence

TRACE introduces tourism dialogues pairing multi-turn recommendations with review citations and rejection turns to expose the Three-Competency Gap across accuracy, grounding, and recovery.

Zixu Zhao, SIJIN WANG, Yu Hou, YUANYUAN XU 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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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 5/5
76%Highly rated
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Contrastive Identification and Generation in the Limit

Contrastive identification and generation in the limit studies learning from unlabeled differing pairs, yielding geometric characterizations, a strict generation hierarchy, and robust corruption reversal via common crossing graphs.

Xiaoyu Li, Andi Han, Jiaojiao Jiang, Junbin Gao

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

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AI panel: 10 of 20 reviewers recommend it
lenient 1/5
medium 6/10
strict 3/5
83%Must read
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MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs

MAGE externalizes self-knowledge into co-evolutionary knowledge graphs that guide frozen-learner agents, achieving strong multi-benchmark gains via complementary success and correction memories.

Ruiyi Yang, Zechen Li, Hao Xue, Imran Razzak 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: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5
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
92%Must read
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Where Root Cause Analysis Fails: A Retrieval-Reranking Decomposition

Root cause analysis benchmarks conflate retrieval and reranking failures, revealing graph methods rarely beat statistical baselines; a two-stage retriever-LLM reranker matches or exceeds all baselines without causal graphs or labels.

Hada M Muhammad, Luan Pham, Laure Barrière, Sachin Shetty 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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19/20 AI panelreviewers recommend it

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AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 4/5
80%Must read
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Conditioning Gaussian Processes on Almost Anything

Gaussian processes are recast as linear diffusion models to enable conditioning on arbitrary likelihoods, including language and physics, via ODE sampling without bespoke derivations.

Henry Moss, Lachlan Astfalck, Tom Cowperthwaite, Colin Doumont 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: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5