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Showing papers from Singapore Management University Show all papers

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NeurIPS 2026The University of WollongongU WollongongSingapore ManagementObject detection

Beyond Normal References: Discriminative Few-Shot Anomaly Detection

Huan Wang, Jun Shen, Jun Yan, Guansong Pang

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

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67%Highly rated
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NeurIPS 2026SpotlightU Technology SydneySingapore ManagementU Wisconsin-Madison" University of Technology,Hallucination & factuality

CHORD: Cross-Model Hallucination Detection via Relational Graph Discrimination

Yongxin Deng, Zhen Fang, Guansong Pang, Sharon Li 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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NeurIPS 2026National University of SingaporeSingapore Managementnational university of singaore,AI oversight & deception

LLM-enabled Applications Require Systematic Threat Monitoring

Yedi Zhang, Haoyu Wang, XIANGLIN YANG, Jin Song Dong 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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medium 0/10
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67%Highly rated
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NeurIPS 2026SIngapore ManagementSingapore ManagementVideo understanding

Temporal Slice Learning for AI-Generated Video Detection with 400× Fewer FLOPs

Wei Shang, Zhiyuan Li, Shengfeng He

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

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lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026U Electronic Science and TechnolSingapore ManagementUniversiti MalayaFederated learning

Geometry-Aware Subspace Perturbation for Heterogeneous Federated Learning

Xiangtao Zhang, Hailong Yan, Obed Irihose, Joey Tianyi Zhou and 3 more

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

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NeurIPS 2026Singapore ManagementOffline RL

ExpRFT: Exponential Reward-Weighted Fine-Tuning for Offline RL in Multi-Turn Dialogue

Huy Dao, Lizi Liao

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

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lenient 2/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026SpotlightNanjingSingapore ManagementAI oversight & deception

Are LLM Safety Judges Policy-Invariant? A Three-Principle Stress-Test

Shihao Weng, Yang Feng, Xiaofei Xie

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

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lenient 1/5
medium 1/10
strict 0/5
67%Highly rated
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NeurIPS 2026School of Intelligence Science aNanjingSingapore ManagementLLM reasoning & chain of thought

Understanding the Out-of-Distribution Generalization of Chain-of-Thought Reasoning in LLMs

Nuojing Liang, Xiaotong Yuan, Pan Zhou

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

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lenient 1/5
medium 1/10
strict 0/5
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NeurIPS 2026Nanyang TechnologicalIDEAWuhanEast China NormalCity University of Hong KongInstruction tuning

FLoRA-Chef: Making A Good LoRA Recipe in Federated Generalization

Wenwen He, Wenke Huang, Yiyan Qi, He Li and 3 more

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

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lenient 1/5
medium 0/10
strict 0/5
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NeurIPS 2026The Hong Kong PolytechnicSingapore ManagementNanyang TechnologicalJilinHong Kong PolytechnicLLM pretraining & scaling laws

Language Models Demand New Computer Science

Chang Yang, Xinrun Wang, Shuxin Li, Qinggang Zhang and 4 more

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

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NeurIPS 2026Harbin Institute of TechnologySingapore ManagementRetrieval-augmented generation

Not All Gap Correction Helps: A Geometric View of External Information in LLM Inference

Dingzirui Wang, Xuanliang Zhang, Keyan Xu, Qingfu Zhu and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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medium 0/10
strict 1/5
67%Highly rated
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NeurIPS 2026WuhanA*STAR SingaporeAgency for Science, Technology aWuhan University, ChinaSingapore ManagementPrivacy

On the Feasibility of Identity Manipulation for Diffusion-Based Face Privacy Preservation

Xuemei Jia, JIAWEI DU, Jiawei Liu, xin zhang and 3 more

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 2/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Florida InternationalU HoustonSingapore ManagementExplainable AI

Robust Surrogate Modeling for Explainable Graph Neural Networks

Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026Singapore ManagementHong Kong University of Science Singapore Management University Deep RL

Diffusion-Enhanced GFlowNet for Solving Vehicle Routing Problems

Ni Zhang, Zhiqin Zhang, Ling Pan, Hoong Chuin Lau 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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lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Singapore ManagementDiffusion models

Per-Starting-Point Plausibility and Diversity Bounds for Score-Based Diffusion Models

Minh Quang Nguyen, Hady Lauw

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

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57%Worth a look
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NeurIPS 2026Singapore ManagementNanjing University of Posts and Nanyang TechnologicalNanjing University of Science anVisual grounding

QGround: Condition-Wise Evidence Aggregation for 3D Grounding with 2D VLMs

Fengyun Wang, Jian Wang, Dingwei Zhang, Jinhui Tang and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Singapore ManagementNanyang TechnologicalNanjing University of InformatioNational University of SingaporeDeep RL

SimpleEvol: Efficient Intelligence Conversion via Less Human Prior in Automated Heuristic Design

Jianghan Zhu, Cong Zhang, Rongjie Zhu, CHI ZHANG 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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medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026EmoryMITSingapore ManagementDomain adaptation

MixRoute: Rethinking Single-Distribution Training for Generalizable Neural Routing

Hang Yi, Ziwei Huang, Yining Ma, Zhiguang Cao

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

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medium 0/10
strict 0/5
80%Must read
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NeurIPS 2026Singapore ManagementU Illinois at Urbana-ChampaignU Illinois at ChicagoMulti-agent LLM systems

VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems

VerifyMAS verifies failure hypotheses over full LLM multi-agent trajectories to attribute errors globally and cut combinatorial search.

Hezhe Qiao, Hanghang Tong, Ee-peng Lim, Bing Liu and 1 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
86%Must read
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NeurIPS 2026DeakinThe University of MelbourneSingapore ManagementCity University of Hong KongFudanJailbreaks & red teaming

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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NeurIPS 2026The University of MelbourneDeakinU MelbourneSingapore ManagementCity University of Hong KongLLM evaluation & benchmarks

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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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
74%Highly rated
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NeurIPS 2026Nanyang TechnologicalInstitute of Marine Scinece and Singapore ManagementMeta, transfer & few-shot learning

Learning Scenario Reduction for Two-Stage Robust Optimization with Discrete Uncertainty

PRISE uses sequential lookahead to select representative scenarios for two-stage robust optimization, while NeurPRISE learns a GNN-Transformer surrogate via imitation learning that achieves 7-200x speedups and strong zero-shot generalization.

TIANJUE LIN, Jianan Zhou, Jieyi Bi, Yaoxin Wu and 3 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: 9 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 1/5
74%Highly rated
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NeurIPS 2026Singapore ManagementU Electronic Science and TechnolSoutheast University, ChinaGraph neural networks

Understanding and Mitigating Under-Confidence in GNNs from the Final Layer

A unified framework reveals GNN under-confidence stems from final-layer weight decay and node distance, fixed by reducing decay and node-level calibration.

Jincheng Huang, Jie Xu, Ping Hu, Xiaoshuang Shi 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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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5