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20202026
most citedA Scoping Review of Synthetic Data Generation by Language Models in Biomedical Research and Application: Data Utility and Quality Perspectives

9 citations · 12 across the 16 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CV2026

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…

cs.CL2026

BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection

Saukun Thika You, Nguyen Anh Khoa Tran, Wesley K. Marizane +3

Terminology substitution errors in clinical notes, where one medical term is replaced by a linguistically valid but clinically different term, pose a persistent challenge for autom…