Hannah Kim

Orcid: 0000-0002-0137-7171

Affiliations:
  • Megagon Labs, USA
  • Georgia Institute of Technology, Atlanta, GA, USA (PhD 2022)


According to our database1, Hannah Kim authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Blueprint Architecture of Compound AI Systems for Enterprise.
CoRR, 2024

Knowledge Acquisition and Integration with Expert-in-the-loop.
CoRR, 2024

MEGAnno+: A Human-LLM Collaborative Annotation System.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Towards Multifaceted Human-Centered AI.
CoRR, 2023

MEGAnno: Exploratory Labeling for NLP in Computational Notebooks.
CoRR, 2023

Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Interactive Visual Text Analytics.
PhD thesis, 2022

Low-resource Interactive Active Labeling for Fine-tuning Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
ArchiText: Interactive Hierarchical Topic Modeling.
IEEE Trans. Vis. Comput. Graph., 2021

2019
TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling.
Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

Understanding Actors and Evaluating Personae with Gaussian Embeddings.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data.
ACM Trans. Knowl. Discov. Data, 2018

Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters.
CoRR, 2018

2017
Visualization by Demonstration: An Interaction Paradigm for Visual Data Exploration.
IEEE Trans. Vis. Comput. Graph., 2017

AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings.
IEEE Trans. Vis. Comput. Graph., 2017

PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
InterAxis: Steering Scatterplot Axes via Observation-Level Interaction.
IEEE Trans. Vis. Comput. Graph., 2016

2015
Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization.
Neurocomputing, 2015

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Exploring anomalies in GAStech: VAST 2014 Mini Challenge 1 and 2.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014


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