140 citations · 258 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
Context-aware Code Summary Generation
Chia-Yi Su, Aakash Bansal, Yu Huang +2
Code summary generation is the task of writing natural language descriptions of a section of source code. Recent advances in Large Language Models (LLMs) and other AI-based technol…
Programmer Visual Attention During Context-Aware Code Summarization
Robert Wallace, Aakash Bansal, Zachary Karas +4
Abridged: Programmer attention represents the visual focus of programmers on parts of the source code in pursuit of programming tasks. We conducted an in-depth human study with 10…
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…