1 citations · 1 across the 12 of their papers we have counts for
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AIA: Attribute-Agnostic Imbalance Augmentation for Subgroup Robustness
Hanshu Rao, Guangzeng Han, Xiaolei Huang
Attributes describing data content and context can induce diverse imbalance patterns that go beyond label imbalance alone. However, existing studies primarily address label imbalan…
Leveraging Multimodal Self-Consistency Reasoning in Coding Motivational Interviewing for Alcohol Use Reduction
Guangzeng Han, James G. Murphy, Benjamin O. Ladd +2
BACKGROUND: Coding Motivational Interviewing (MI) sessions is essential for understanding client behaviors and predicting outcomes, but it requires substantial time and labor from…
What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective
Guangzeng Han, Xiaolei Huang
Instruction-tuning datasets often contain substantial redundancy and low-quality samples, necessitating effective data selection methods. We propose an instruction data selection f…
Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation
Weisi Liu, Guangzeng Han, Xiaolei Huang
Time introduces fundamental challenges in model development and deployment: models are usually trained on historical data while deployed on future data where semantic distributions…
Model-Agnostic Meta Learning for Class Imbalance Adaptation
Hanshu Rao, Guangzeng Han, Xiaolei Huang
Class imbalance is a widespread challenge in NLP tasks, significantly hindering robust performance across diverse domains and applications. We introduce Hardness-Aware Meta-Resampl…
From Scientific Crop Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping
Yu Wu, Guangzeng Han, Ibra Niang Niang +6
High-throughput, effective and comprehensive phenotyping is a critical prerequisite for crop improvement. While phenotypic analysis was traditionally performed manually, recent adv…