Summary of The Challenges Of Evaluating Llm Applications: An Analysis Of Automated, Human, and Llm-based Approaches, by Bhashithe Abeysinghe and Ruhan Circi
The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches
by Bhashithe Abeysinghe, Ruhan Circi
First submitted to arxiv on: 5 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the evaluation of chatbot responses, specifically focusing on transformer-based generative AI methods. The natural language generation community lacks a consensus on effective evaluation approaches, which hampers the development and improvement of chatbots. This study discusses the limitations of LLM (Large Language Model)-based evaluations and proposes a comprehensive factored evaluation mechanism that combines human and LLM-based assessments. An experimental evaluation is conducted to compare traditional human evaluation with automated and factored LLM and human evaluations, revealing that factor-based evaluation provides better insights on which aspects require improvement in LLM applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Chatbots are AI-powered tools that can have many uses, like helping people communicate or provide information. Right now, there’s a problem figuring out how well chatbot responses are doing. Some experts think using computers to evaluate the responses is okay, but others don’t agree. This paper looks at how we can do better evaluations and introduces a new way to compare how humans and computer programs assess chatbot responses. The results show that this new approach helps us understand which parts of the chatbots need improvement. |
Keywords
» Artificial intelligence » Large language model » Transformer
