Author

Zongyuan Ge

Observed names: Ge, Zongyuan, Zhen yu

Institution: Monash University

Observed institution: Monash University

OpenAlex ID: A5125528492

DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery

2026 · Chen, Yuxing, Zhang, Zhisheng, et al. · arXiv (Cornell University)

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NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis

2026 · Hongxi Yang, Yiwen Jiang, et al. · Lecture notes in computer science

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A Neurosymbolic Framework for Interpretable Skeleton-Based Seizure Detection via Concept-Driven Logical Reasoning

2026 · Talha Ilyas, Deval Mehta, et al. · Lecture notes in computer science

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CALM-AH: An ABAW11-Calibrated Multimodal Ensemble with Reliability-Gated Multi-Expert Consensus for Video-Level Ambivalence and Hesitancy Recognition

2026 · Sun, Wenzhuo, Liang, Mingjian, et al. · arXiv (Cornell University)

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ReMoE: Report-Guided Mixture-of-Experts for Multimodal OCT/OCTA Anomaly Detection

2026 · Nie, Zihan, Qiao, Qincheng, et al. · arXiv (Cornell University)

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CFR-Net:Collaborative Feature Refinement Network for Medical Image Anomaly Detection

2026 · Nie, Zihan, Xu, Muhao, et al. · arXiv (Cornell University)

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Learning Fine-Grained Visual Representations with Multi-Scale Foreground Feature Matching

2026 · Baofeng Tan, Lin Zhao, et al. · Scientia Sinica Informationis

Dementia-Agents: A Multi-Modal Multi-Agent System for Dementia Staging and Phenotyping

2026 · Shen, Yaling, Christensen, Maja, et al. · arXiv (Cornell University)

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EnTrust: Modeling Inter-Modal Conflict for Trustworthy Multimodal Medical Image Analysis

2026 · Mahapatra, Dwarikanath, Das, Abhijit, et al. · arXiv (Cornell University)

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Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses

2026 · Association for Computational Linguistics 2026, Dai, Chongyuan, et al. · Underline Science Inc.

PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics

2026 · Association for Computational Linguistics 2026, Dwyer, Dominic, et al. · Underline Science Inc.

AnchorSIPS: A Synthetic Dataset and Evaluation Resource for Evidence-Supported Psychosis-Risk Symptom Measurement

2026 · Oliveira, Guilherme C., Fong, Stephanie, et al. · arXiv (Cornell University)

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LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence

2026 · An, Xiang, Xie, Yin, et al. · arXiv (Cornell University)

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Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models

2026 · Qian, Zhe, Ma, Yanbiao, et al. · arXiv (Cornell University)

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Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

2026 · Deng, Zhongying, Tang, Cheng, et al. · arXiv (Cornell University)

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MuSEAgent: A Multimodal Reasoning Agent with Stateful Experiences

2026 · Wang, Shijian, Jin, Jiarui, et al. · arXiv (Cornell University)

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Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding

2026 · Xu, Zhongxing, Wang, Zhonghua, et al. · arXiv (Cornell University)

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CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations

2026 · Association for Computational Linguistics 2026, Colton, Beau-Luke, et al. · Underline Science Inc.

OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence

2026 · Tang, Feilong, An, Xiang, et al. · arXiv (Cornell University)

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A General Model for Retinal Segmentation and Quantification

2026 · Wang, Zhonghua, Ju, Lie, et al. · arXiv (Cornell University)

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Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses

2026 · Dai, Chongyuan, Shen, Yaling, et al. · arXiv (Cornell University)

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PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics

2026 · Shen, Yaling, Fong, Stephanie, et al. · arXiv (Cornell University)

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AudioProcessBench: Benchmark for Identifying Process Errors in Audio-Grounded Reasoning

2026 · Xiangyu Zhao, Junyu Yan, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)

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Latent Ordinal Evidence, Misaligned Outputs: Inference-Time Ordinal Lens Alignment for Multimodal LLMs

2026 · Haiming Li, Yingsheng Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Learning Compositional Spatio-Temporal Video Grounding with Synthetic Curriculum

2026 · Xingjian Wang, Shijian Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)

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Works count: 30

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