ABRA: Agent-Bound UI for Human-Agent Communication beyond Chat with Reusable Views

Seon Gyeom Kim, Hannah Kim

EMNLP 2026 Demo

A Dynamic Self-Evolving Extraction System

Moin Aminnaseri, Hannah Kim, Estevam Hruschka

ACL 2026 Demo

How to Steer Your Multi-Agent System: Human-LLM Collaborative Planning

Zeyu He, Hannah Kim, Dan Zhang, Estevam Hruschka

CAIS 2026, Best Artifact Award

Do Agents Need to Plan Step-by-Step? Rethinking Planning Horizon in Data-Centric Tool Calling

Naoki Otani, Nikita Bhutani, Hannah Kim, Dan Zhang, Estevam Hruschka

CAIS 2026, Industry Spotlight Award

Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation

Jackson Hassell, Dan Zhang, Hannah Kim, Tom Mitchell, Estevam Hruschka

CAIS 2026

RECAP: REwriting Conversations for Intent Understanding in Agentic Planning

Kushan Mitra, Dan Zhang, Hannah Kim, Estevam Hruschka

EACL 2026 Findings

AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems

Hannah Kim, Kushan Mitra, Chen Shen, Dan Zhang, Estevam Hruschka

EMNLP 2025 Demo

VeriLA: A Human-Centered Evaluation Framework for Interpretable Verification of LLM Agent Failures

Yoo Yeon Sung, Hannah Kim, Dan Zhang

CHI 2025 HEAL Workshop

Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks

Aditi Mishra, Sajjadur Rahman, Kushan Mitra, Hannah Kim, Estevam Hruschka

ACL 2024 Findings

A Blueprint Architecture of Compound AI Systems for Enterprise

Eser Kandogan, Sajjadur Rahman, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Kushan Mitra, Sairam Gurajada, Pouya Pezeshkpour, Hayate Iso, Yanlin Feng, Hannah Kim, Chen Shen, Jin Wang, Estevam Hruschka

Compound AI Systems Workshop at the Data+AI Summit 2024

Human‑LLM Collaborative Annotation Through Effective Verification of LLM Labels

Xinru Wang, Hannah Kim, Sajjadur Rahman, Kushan Mitra, Zhengjie Miao

CHI 2024

MEGAnno+: A Human-LLM Collaborative Annotation System

Hannah Kim, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, Dan Zhang

EACL 2024 Demo

Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks

Nahyun Kwon, Hannah Kim, Sajjadur Rahman, Dan Zhang, Estevam Hruschka

WWW 2023 Demo

Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks

Frederick Choi, Sajjadur Rahman, Hannah Kim, Dan Zhang

CHI 2023 Late Breaking Work

MEGAnno: Exploratory Labeling for NLP in Computational Notebooks

Dan Zhang, Hannah Kim, Rafael Li Chen, Eser Kandogan, Estevam Hruschka

EMNLP 2022 DaSH Workshop, Best Paper Award

Low-resource Interactive Active Labeling for Fine-tuning Language Models

Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka

EMNLP 2022 Findings

Towards Multi-faceted Human-centered AI

Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser Kandogan

NeurIPS 2022 Human-Centered AI Workshop

ArchiText: Interactive Hierarchical Topic Modeling

Hannah Kim, Barry L. Drake, Alex Endert, Haesun Park

IEEE Transactions on Visualization and Computer Graphics (TVCG) 2020

TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling

Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park

IEEE Conference on Visual Analytics Science and Technology (VAST) 2019

Understanding Actors and Evaluating Personae with Gaussian Embeddings

Hannah Kim, Denys Katerenchuk, Dan Billet, Jun Huan, Haesun Park, Boyang Li

AAAI 2019

VisIRR: An Interactive Visual System for Information Retrieval and Recommendation for Large-scale Document Data

Jaegul Choo, Hannah Kim, Edward Clarkson, Zhicheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramki Kannan, Chad Stolper, John Stasko, Haesun Park

TKDD 2017

High-Recall Document Retrieval from Large-Scale Noisy Documents via Visual Analytics based on Targeted Topic Modeling

Hannah Kim, Jaegul Choo, Alex Endert, Haesun Park

IEEE Conference on Visual Analytics Science and Technology (VAST) 2017 Poster

PIVE: Per-Iteration Visualization Environment for Real-time Interactions with Dimension Reduction and Clustering

Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park

AAAI 2017

AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings

B.C. Kwon, Hannah Kim, Emily Wall, Jaegul Choo, Haesun Park, Alex Endert

IEEE Conference on Visual Analytics Science and Technology (VAST) 2016

Visualization by Demonstration: An Interaction Paradigm for Visual Data Exploration

Bahador Saket, Hannah Kim, Eli T. Brown, Alex Endert

IEEE Transactions on Visualization and Computer Graphics (TVCG) 2016

InterAxis: Steering Scatterplot Axes via Observation-Level Interaction

Hannah Kim, Jaegul Choo, Haesun Park, Alex Endert

IEEE Conference on Visual Analytics Science and Technology (VAST) 2015

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization

Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park

KDD 2015

Doubly Supervised Embedding Based on Class Labels and Intrinsic Clusters for High-Dimensional Data Visualization

Hannah Kim, Jaegul Choo, Chandan K. Reddy, Haesun Park

Neurocomputing 2015

PIVE: Per-Iteration Visualization Environment for Supporting Real-time Interactions with Computational Methods

Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Barry L. Drake, Haesun Park

IEEE Conference on Visual Analytics Science and Technology (VAST) 2014 Poster, Best Poster Award

VisIRR: Visual Analytics for Information Retrieval and Recommendation for Large-Scale Document Data

Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John Stasko, Barry L. Drake, Haesun Park

IEEE Conference on Visual Analytics Science and Technology (VAST) 2014 Poster

Exploring Anomalies in GAStech: VAST Mini Challenge 1 and 2

Jaegul Choo, Yi Han, Mengdie Hu, Hannah Kim, James Nugent, Francesco Poggi, Haesun Park, John Stasko

IEEE Conference on Visual Analytics Science and Technology (VAST) 2014 VAST Challenge