mlsanityData to 14 Oct 2026

A Case Study in Engineering a Conversational Programming Assistant's Persona

arXiv 2301.10016 ↗First posted 13 Jan 2023cs.CY cs.AI cs.HCcited by 6

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Abstract (arXiv)

The Programmer's Assistant is an experimental prototype software development environment that integrates a chatbot with a code editor. Conversational capability was achieved by using an existing code-fluent Large Language Model and providing it with a prompt that establishes a conversational interaction pattern, a set of conventions, and a style of interaction appropriate for the application. A discussion of the evolution of the prompt provides a case study in how to coax an existing foundation model to behave in a desirable manner for a particular application.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 15 of its 24 references that are in the map. First posted on arXiv 13 Jan 2023.

Builds on

15 of 24 references.

References · 15

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2021Evaluating Large Language Models Trained on Codecited by 8,320
  4. 2022Survey of Hallucination in Natural Language Generationcited by 2,075
  5. 2022Competition-Level Code Generation with AlphaCodecited by 1,462
  6. 2022LaMDA: Language Models for Dialog Applicationscited by 1,220
  7. 2021Show Your Work: Scratchpads for Intermediate Computation with Language Modelscited by 886
  8. 2021Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigmcited by 606
  9. 2022BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagecited by 198
  10. 2022Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Bookcited by 84
  11. 2022Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Languagecited by 82
  12. 2022Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Modelscited by 70
3 more
  1. 2021Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attentioncited by 40
  2. 2022On the Influence of Explainable AI on Automation Biascited by 18
  3. 2022Prompting for a conversation: How to control a dialog model?cited by 4

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Cited by year

Citing papers per year: 2023: 2; 2024: 1; 2025: 3.

6 papers.