Grading Conversational Responses Of Chatbots
Project Overview
The document explores the integration of generative AI, particularly ChatGPT, in education, emphasizing its conversational capabilities and potential applications. It assesses ChatGPT's effectiveness by analyzing its responses to a dataset of Quora questions through established metrics such as BLEU, METEOR, and ROUGE, which are commonly used to evaluate machine translation and conversational quality. The findings reveal that although ChatGPT can produce sophisticated and contextually relevant responses, it often does not achieve the level of human-like interaction, indicating limitations in its current conversational abilities. Despite these shortcomings, the document highlights the potential of generative AI as a tool for enhancing learning experiences, providing personalized feedback, and facilitating student engagement. It suggests that ongoing advancements in AI technology could ultimately lead to improved educational outcomes, as educators explore innovative ways to incorporate AI-driven tools into their teaching methodologies.
Key Applications
ChatGPT conversational responses analysis
Context: Analyzing responses to questions from the Quora forum, targeting researchers and developers working on NLP systems.
Implementation: Responses were graded using BLEU, METEOR, and ROUGE scores after submitting questions to ChatGPT via the OpenAI API.
Outcomes: The analysis showed that ChatGPT's responses were generally not as human-like as expected, with varying degrees of success across the metrics.
Challenges: ChatGPT's inability to consistently mimic human responses and the limitations of current metrics in fully capturing conversational quality.
Implementation Barriers
Technical Limitations
ChatGPT's responses do not adequately resemble human responses in creativity and context understanding.
Proposed Solutions: Future work could involve combining more metrics or focusing on conversational data for improved question-and-answer functionality.
Project Team
Grant Rosario
Researcher
David Noever
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Grant Rosario, David Noever
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai