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Jia-Ning Hao

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Data Strategies for Large Language Models: A Unified Perspective on the Training Lifecycle

Data strategy plays a central role in training large language models (LLMs). It governs the selection, weighting, and scheduling of training data, thereby determining the capabilities a model can acquire from a fixed data budget. We treat high-quality data as having high training-dependent utility, which depends on the...

Yuan-Jian Xu, Jia-Ning Hao, Tian-Ze Sun et al. · 0 citations
#artificial intelligence Preprint Oct 2026

AgentPerturb: Evaluating LLM Agent Robustness under Controlled Interaction Perturbations

Real-world tasks are often complex and noisy, posing substantial challenges for LLM agents. Yet existing evaluations lack a systematic framework for jointly characterizing potential perturbation targets and types. We use this two-dimensional view to conduct a unified study that quantifies the robustness of current fron...

Yuan-Jian Xu, Jin-Yi Han, Jia-Ning Hao et al. · 0 citations

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