Papers by Ngoc Nguyen

2 papers
Mixture-of-Personas Language Models for Population Simulation (2025.findings-acl)

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Challenge: Pretrained LLMs fail to capture behavioral diversity of target populations due to inherent variability across individuals and groups.
Approach: They propose a probabilistic prompting method that aligns LLM responses with the target population.
Outcome: Experiments show that the proposed method outperforms competing methods in alignment and diversity metrics.
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition (2023.findings-emnlp)

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Challenge: Existing active learning approaches focus on information-rich sequences, reducing the need for expert annotation.
Approach: They propose a re-weighting-based active learning strategy that assigns dynamic weights to individual tokens.
Outcome: The proposed strategy improves on multiple corpora and validates its effectiveness.

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