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Showing papers from The Chinese University of Hong Kong, Shenzhen Show all papers

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CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs

Shaobo Wang, Yongliang Miao, YuanCheng Liu, Qianli Ma and 3 more

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

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lenient 1/5
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Semantics-to-Contact: A Stagewise Framework for Robust Contact-Rich Manipulation

Guanren Qiao, Ruixiang Ouyang, Sheng Xu, Yueci Deng 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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MEME: Lightweight Hierarchical Mixture-of-Experts for Unified Affective Computing

Yinan Zhang, Haoyu Zhang, Tianshu Yu

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
lenient 1/5
medium 0/10
strict 0/5
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Latent Spatial Reasoning: Building Innate 3D Awareness via Latent-Space Distillation

Ruifei Zhang, Xiangru Lin, Haoyuan Li, Wei Zhang 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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Spectral Degeneration of Softmax Attention under Isotropic Score Geometry

Mengda Li, Jianfeng Yao

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

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HiLoc: A Hierarchical Representation Method for Spatial Localization in Multimodal Large Language Models

Evelyn Zhang, Fufu Yu, Hanjun Li, Aoqi Wu and 7 more

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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Harder the Task, Sparser the Representation: Sparsity as a Learning Signature of Capability in LLMs

Mingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng and 7 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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RobustPruner: Decoupled Relevance and Uncertainty for Efficient Visual Token Pruning in MLLMs

Hanwei Zhu, Junhan Fu, Xi Zhang, Jiamang Wang 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
69%Highly rated
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Safe, or Simply Incapable? Rethinking Safety Evaluation for Phone-Use Agents

Zhengyang Tang, Yi Zhang, Chenxin Li, Xin Lai and 17 more

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

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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
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Auto-Rubric as Reward: From Implicit Preference to Explicit Generative Criteria

Juanxi Tian, Fengyuan Liu, Jiaming Han, Yilei Jiang and 5 more

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

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MedIGen: Reliable Medical Illustration Generation via Interleaved Introspective Reasoning

Rongsheng Wang, Hongru Zhou, Ruizhe Zhou, HAOMING CHEN and 6 more

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

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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GeoMemory: Geometry-Indexed Memory for Long-Horizon Interactive Video Generation

Junchao Huang, Xinting Hu, Boyao Han, Shaoshuai Shi 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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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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CompilerKV: Risk-Adaptive KV Cache Compression via Offline Experience Compilation

Ning Yang, Chengzhi Wang, Yibo Liu, Baoliang Tian 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Learning Semantic Consistency for Open-Vocabulary Dense Perception

Li Ding, Junjie Wang, Jingjun Yang, Jiaze Wang 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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ConfDet: Learning Reliable Confidence for MLLM-based Detection

Xuanjie Mao, Peng Ye, Ziteng Ma, Lin Zhang and 5 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Dual-Pronged LoRA: Achieving Near-Zero Forgetting and High-Performance Adaptation for MLLMs

Jingqi Ye, haonan he, Minglei Li, Fujun Han and 2 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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AnyEdit: A Unified Framework for Speech and Singing Voice Editing with Real-World Environmental Consistency

Yunjia Zhang, Junan Zhang, Jing Yang, Xueyao Zhang 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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Learning Deployable Causal Action Geometry under Temporal Non-Stationarity

Changjian Liu, Tianyu Wang, Yuwei Xu, Xiaoxuan Deng and 5 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
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57%Worth a look
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Learning When to Think: Dual-Reference Offline Optimization for Adaptive VLM Reasoning

Hongbin Lin, Sizhe Zou, Juangui Xu, Xinyue Xu and 5 more

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
74%Highly rated
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Rep2Text: Decoding Full Text from a Single LLM Token Representation

Rep2Text recovers roughly half of tokens from single LLM representations via adapter-based decoding, showing sequence-length bottlenecks preserve semantics but reduce token recovery.

Haiyan Zhao, Zirui He, Yiming Tang, Fan Yang and 3 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 2/5
76%Highly rated
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LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs

LiveOption evaluates LLM option-trading agents via structured sequential decision-making with nonlinear payoffs, showing current agents rarely achieve competitive returns.

Haochen Luo, YIFAN LI, An B Minh, Xiaolong Luo and 3 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 1/5
72%Highly rated
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ReFPO: Reflow Regularization for Flow Matching Policy Gradients

ReFPO adds explicit reflow regularization to flow matching policy gradients, stabilizing training and enabling high-fidelity one-step inference that matches multi-step performance across control tasks.

Ge Wang, Yibo Peng, Fan Feng, Shenhao Yan and 9 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: 8 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 0/5
83%Must read
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GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoning

GeoSym Engine automates symbolically-verifiable geometric reasoning data synthesis, and models trained on GeoSym127K achieve large gains on diagram-dependent geometry benchmarks.

Jinhao Jing, Zheng Ma, Jinwei Liang, Qiannian Zhao and 8 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 9/10
strict 0/5
88%Must read
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UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks

UniClawBench introduces a capability-driven benchmark evaluating proactive agents via 400 real-world tasks with live Docker evaluation and multi-turn feedback.

Zhekai Chen, CHENGQI DUAN, Kaiyue Sun, Bohao Li and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 34 on Hugging Face · Code ★ 39

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
71%Highly rated
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Embracing Evolution: A Call for Body-Control Co-Design in Embodied Humanoid Robot

Humanoid robot co-design evolves control and morphology together via strategic exploration and meta-policy learning to enable true embodied intelligence.

Guiliang Liu, Bo Yue, Yi J Kim, Kui Jia

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

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AI panel: 7 of 20 reviewers recommend it
lenient 5/5
medium 2/10
strict 0/5
92%Must read
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TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders

TRL-Bench standardizes cross-paradigm evaluation of tabular encoders via shared representation-level probes, finding encoder quality is task-specific and best pipelines combine capability-matched specialists.

Wei Pang, Xiangru Jian, Hehan Li, Zhixuan Yu and 9 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 54 on Hugging Face · Code ★ 10

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AI panel: 19 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 4/5
76%Highly rated
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FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing

FlowSteer lets an agent design executable agentic workflows via a canvas environment that returns syntax-checked feedback for each edit, significantly outperforming baselines across twelve datasets.

Mingda Zhang, Wenjin Liu, Tiesunlong Shen, Qika Lin 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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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
86%Must read
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Forced Deferral: Manipulating Routing Decisions in Multimodal LLM Cascades

Forced Deferral Attack uses adversarial image triggers to suppress weak-model confidence and force multimodal LLM cascades to route queries to strong models. It learns universal border triggers via temperature-flattened optimization, consistently increasing unintended strong-model usage across datas

Zhongye Liu, Yaopei Zeng, Yurui Chang, Lu Lin

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
91%Must read
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Stealth Apart, Harm Together: Skill Cascading Attacks on Skill-Based Agent Systems

Skill cascading attacks distribute malicious objectives across benign skills to harm agent systems, and SkillCascade reliably induces such failures while evading per-skill defenses.

Zihao Zhu, Siwei Lyu, Adel Bibi, Baoyuan Wu

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

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 4/5
86%Must read
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BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation

BusterX introduces GenBuster-200K, GenBuster-Bench, and an MLLM baseline that detects AI-generated video via reasoning chains, outperforming leading models in accuracy and explanation quality.

Haiquan Wen, Yiwei He, Zhenglin Huang, Tianxiao Li and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 51

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
83%Must read
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When Noise Meets Long-Tail: Feature-Threshold Dual Calibration for Robust Pseudo-Labeling

FTC-Seg uses orthogonal prototype reconstruction and adaptive threshold calibration to break pseudo-label degradation cycles between imaging noise and long-tail class imbalance in semi-supervised semantic segmentation.

Ping Guo, Zhiqi Huang, Xinran Li

Sydney Poster Session 5, Thu, Dec 10, 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 9/10
strict 0/5
74%Highly rated
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MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents

MineEvolve converts Minecraft execution feedback into structured skills and remedies via Monitor, Inducer, Curator, and Adaptor, improving long-horizon agent performance across planners.

Zhengwei Xie, Zhisheng Chen, Ziyan Weng, Jinhan Li and 6 more

Sydney Poster Session 2, Tue, Dec 8, 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
80%Must read
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To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents

LLM agents suffer intrinsic over-calling bias from an activation-independent call offset, which sparse autoencoders diagnose and steering corrects to improve accuracy.

Wei Shi, Ziheng Peng, Sihang Li, Xiting Wang and 3 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 4/5
medium 7/10
strict 1/5
74%Highly rated
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Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model

Evo-Depth is a lightweight 0.9-billion-parameter vision-language-action model using implicit depth encoding from RGB to improve spatial manipulation without extra sensors. It achieves top benchmark performance with minimal GPU memory and highest inference speed among compared methods.

Tao Lin, Yuxin Du, Jiting Liu, Nuobei Zhu and 13 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: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5