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20232026
most citedA Taxonomy for Human-LLM Interaction Modes: An Initial Exploration

55 citations · 100 across the 8 of their papers we have counts for

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cs.HC2025

NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation

Ningzhi Tang, David Meininger, Gelei Xu +4

Code modification requires developers to comprehend code, plan changes, articulate intent, and validate outcomes, making it cognitively demanding. While natural language (NL) code…

cs.HC202544 cited

Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI

Long Ling, Xinyi Chen, Ruoyu Wen +2

Character design in games involves interdisciplinary collaborations, typically between designers who create the narrative content, and illustrators who realize the design vision. H…

cs.HC2024

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Simret Araya Gebreegziabher, Yukun Yang, Elena L. Glassman +1

An important challenge in interactive machine learning, particularly in subjective or ambiguous domains, is fostering bi-directional alignment between humans and models. Users teac…

cs.HC202455 cited

A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration

Jie Gao, Simret Araya Gebreegziabher, Kenny Tsu Wei Choo +3

With ChatGPT's release, conversational prompting has become the most popular form of human-LLM interaction. However, its effectiveness is limited for more complex tasks involving r…

cs.HC2023

Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

Sangho Suh, Meng Chen, Bryan Min +2

Thanks to their generative capabilities, large language models (LLMs) have become an invaluable tool for creative processes. These models have the capacity to produce hundreds and…