activity
20132025
most citedTowards Understanding How Readers Integrate Charts and Captions: A Case Study with Line Charts

52 citations · 111 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025★ 23 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1168

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

cs.HC2024★ 7 cited

AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI Experts and Clients

Dae Hyun Kim, Hyungyu Shin, Shakhnozakhon Yadgarova +3

Clients often partner with AI experts to develop AI applications tailored to their needs. In these partnerships, careful planning and clear communication are critical, as inaccurat…

cs.HC2023★ 18 cited

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models

Hyung-Kwon Ko, Hyeon Jeon, Gwanmo Park +4

We introduce VL2NL, a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input, thereby streamlining the develo…

cs.HC2023★ 10 cited

EmphasisChecker: A Tool for Guiding Chart and Caption Emphasis

Dae Hyun Kim, Seulgi Choi, Juho Kim +2

Recent work has shown that when both the chart and caption emphasize the same aspects of the data, readers tend to remember the doubly-emphasized features as takeaways; when there…

cs.HC2021★ 52 cited

Towards Understanding How Readers Integrate Charts and Captions: A Case Study with Line Charts

Dae Hyun Kim, Vidya Setlur, Maneesh Agrawala

Charts often contain visually prominent features that draw attention to aspects of the data and include text captions that emphasize aspects of the data. Through a crowdsourced stu…

cs.LG2018★ 1 cited

Finding Solutions to Generative Adversarial Privacy

Dae Hyun Kim, Taeyoung Kong, Seungbin Jeong

We present heuristics for solving the maximin problem induced by the generative adversarial privacy setting for linear and convolutional neural network (CNN) adversaries. In the li…

math.CO2013

Chromatic Bounds On Orbital Chromatic Roots

Dae Hyun Kim, Alexander H. Mun, Mohamed Omar

Given a group of automorphisms of a graph , the orbital chromatic polynomial is the polynomial whose value at a positive integer is the number of orbits of…