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Gaoyuan Du

SOP-Bench: Complex Industrial SOPs for Evaluating LLM Agents
2026 · Subhrangshu Nandi, Arghya Datta, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
Learning Complementary Agent Groups via Task Hypergraphs for Next-POI Recommendation with Missing Modalities
2026 · Wang, Jinze, Liu, Yuze, et al. · arXiv (Cornell University)
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RAGStress: A controlled benchmark for evaluating retrieval-augmented generation under knowledge-base degradation
2026 · Yang, Shiqi, Ma, Jiekai, et al. · arXiv (Cornell University)
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Greedy Decoding Is Not Precision-Invariant: Cross-Precision Output Divergence in LLM Inference
2026 · Du, Gaoyuan, Khan, Anam Nawaz, et al. · arXiv (Cornell University)
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Evaluating teacher-supervised small medical language models for institution-constrained clinical QA
2026 · Gaoyuan Du, Dimitrios Dimitriadis, et al. · Journal of Biomedical Informatics
When Does Context Routing Help? A Systematic Study of Multi-Modal Fusion in Time Series Forecasting
2026 · Zhou, Ruizhe, Du, Gaoyuan, et al. · arXiv (Cornell University)
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Deciphering spatial heterogeneity by multimodal spatial transcriptomics modelling with SpatialModal
2026 · Xingyi Li, Dongmin Zhao, et al. · Bioinformatics
A Framework for Assessing AI Agent Decisions and Outcomes in AutoML Pipelines
2026 · Gaoyuan Du, Amit Ahlawat, et al. · International Conference on Advanced Machine Learning and Data Science (AMLDS)
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From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems
2026 · Zhou, Ruizhe, Liu, Xiaoyang, et al. · arXiv (Cornell University)
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Carbon-Aware Compute--Power Scheduling for AI Data Centers with Microgrid Prosumer Operations
2026 · Zhang, Johnny R., Du, Gaoyuan, et al. · arXiv (Cornell University)
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Cross-Modal Memory Compression for Efficient Multi-Agent Debate
2026 · Wu, Jing, Sun, Yue, et al. · arXiv (Cornell University)
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Works count: 11
Citation count: 1
H-index: 1
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