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J. Williams

5 papers hereh-index 6283 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.HC4
  • cs.CY1
same name
  • J. Williams — 10 papers, h 8
  • J. Williams — 5 papers, h 2
  • J. Williams — 3 papers, h 7
  • J. Williams — 2 papers, h 2
  • J. Williams — 2 papers, h 3
  • J. Williams — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.HCShow all

4 papers · 1 filter

cs.HC2025

Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process

Mohi Reza, Jeb Thomas-Mitchell, Peter Dushniku +3

As generative AI tools like ChatGPT become integral to everyday writing, critical questions arise about how to preserve writers' sense of agency and ownership when using these tool…

cs.HC2024

Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception

Harsh Kumar, Ilya Musabirov, Mohi Reza +5

Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited. Large language models (…

cs.HC2024

Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education

Ilya Musabirov, Angela Zavaleta-Bernuy, Pan Chen +2

Randomized A/B comparisons of alternative pedagogical strategies or other course improvements could provide useful empirical evidence for instructor decision-making. However, tradi…

cs.HC2024

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models

Mohi Reza, Nathan Laundry, Ilya Musabirov +7

Exploring alternative ideas by rewriting text is integral to the writing process. State-of-the-art Large Language Models (LLMs) can simplify writing variation generation. However,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.