Summary of Is Our Chatbot Telling Lies? Assessing Correctness Of An Llm-based Dutch Support Chatbot, by Herman Lassche (1 and 2) et al.
Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot
by Herman Lassche, Michiel Overeem, Ayushi Rastogi
First submitted to arxiv on: 29 Oct 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 This research paper explores the use of large language models (LLMs) for customer support in live chats and chatbots. AFAS, a Dutch company, aims to utilize LLMs to provide accurate responses to customer queries with minimal input from its customer support team. The study focuses on addressing the challenges of evaluating the correctness of generated responses in Dutch, given limited training data. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Companies like AFAS are using live chats and chatbots to keep customers happy. This research uses special language models to help answer customer questions without needing much human help. The problem is figuring out what makes a good response, especially when we don’t have many examples to learn from. The team wants to solve this mystery so they can use these language models in real-time. |
