Good Papers

Showing papers from Adelaide University Show all papers

45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026The University of QueenslandAdelaideBaiduPekingVideo understanding

StreamMind: Dynamic Streaming Cognition for Online Video Understanding

Zhuojie Wu, Xin Shen, Chenxi Miao, Weikang Li and 3 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026AdelaideNVIDIAGoogleU AdelaideU SurreyData curation

GradTrack: Detecting Noisy Labels via Temporal Trajectories of Class-wise Gradient Misalignment

Townim Faisal Chowdhury, Ta Duc Huy, Hieu Phan, Anton van den Hengel and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Australian Institute for MachineU AdelaideOTH RegensburgAdelaideDistribution shift & OOD detection

Adaptive Covariance and Multi-Layer Alignment for Out-of-Distribution Detection

Haoyang Su, Qi Chen, Max Gutbrod, Johan Verjans and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Southeast山东建筑大学AdelaidenuaaSoutheast University, ChinaTool use & function calling

Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents

Yu Li, Zheng Zhang, Xin Liu, shengtian yang and 2 more

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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026U AdelaideAdelaideLLM evaluation & benchmarks

When Are Predictions Enough? An Evaluation Protocol for Frozen Expert Composition

Alessandro Pereira, Keith J Ransom, Lewis Mitchell

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026AdelaideInstruction tuning

No Model Required: Text Entropy Rate Filtering Prevents Iterative Fine-Tuning Collapse

Lewis Mitchell

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026U SydneyAdelaideShanghai NormalShanxiUniversity Of Technology SydneyRepresentation & contrastive learning

Resolution-Aware Structural Density Peak Clustering

Jie Yang, Hsiang-Ting Chen, Yan Ma, Xinyan Liang and 7 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026QualcommQualcomm Inc, QualCommRutgersAdelaideControllable generation

FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers.

Ngan Nguyen, Dung Nguyen, Quan Dao, Dimitris Metaxas and 3 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026The University of QueenslandAustralian NationalAuckland University of TechnologAdelaideVision-language models

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026The University of QueenslandSimon FraserTaobao (China) Software Co., LtdTaobao & Tmall Group of AlibAlibaba GroupVision-language models

AdaM-Rec: Adaptive Modality Routing for Multimodal Recommendation

AdaM-Rec adaptively routes between textual and visual modalities via LLM-based proxy recall tasks to improve multimodal recommendation accuracy.

Honghao Fu, Jiacheng Chen, Manxi Lin, Junjun Zheng and 6 more

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

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
89%Must read
?Must readVote to see the score
NeurIPS 2026Australian Institute for MachineSoutheastHunanU AdelaideSingapore University of TechnoloAgent benchmarks & environments

LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation

LangMap introduces human-verified hierarchical open-vocabulary navigation benchmarks across scene, room, region, and instance levels with 18K tasks, and PlaNaVid achieves top RGB-only success via planning and memory.

Bo Miao, Weijia Liu, Jun Luo, Lachlan Shinnick and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 53

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
80%Must read
?Must readVote to see the score
NeurIPS 2026SpotlightStony BrookState University of New York at AdelaideVision-language models

OmniGF: A Dual-Branch Vision-Language Framework for Unified Gaze Following

OmniGF unifies multi-person gaze following via dual-branch vision-language decoding with head embeddings, achieving state-of-the-art spatial, semantic, and social gaze reasoning.

Qiaomu Miao, Haoyu Wu, Jingyi Xu, Minh Hoai and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
83%Must read
?Must readVote to see the score
NeurIPS 2026JilinAdelaideRMITJinanRoyal Melbourne Institute of TecDynamic graphs

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

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5