Papers by Hyein Seo

2 papers
Guidance-Based Prompt Data Augmentation in Specialized Domains for Named Entity Recognition (2024.acl-short)

Copied to clipboard

Challenge: specialized fields such as science and biology face significant challenges due to the scarcity of quality data.
Approach: They propose a guidance data augmentation technique that abstracts context and sentence structure and maintains context-entity relationships for DA.
Outcome: The proposed method enhances the training performance of named entity recognition tasks while maintaining context-entity relationships.
FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring (2025.acl-short)

Copied to clipboard

Challenge: Existing algorithms for teacher feedback generation are time-consuming and costly to generate manually.
Approach: They propose a framework for generating teacher feedback using LLMs and humans . they construct three datasets that are time-consuming and costly to generate manually . results show that incorporating a small portion of DM leads to superior performance .
Outcome: The proposed framework performs better on three datasets compared to human-generated feedback and LLM-generated datasets.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations