[R] WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia - Achieves 97.9% factual accuracy in conversations with human users about recent topics, 55.0% better than GPT-4! - Stanford University 2023

Paper: [https://arxiv.org/abs/2305.14292v2](https://arxiv.org/abs/2305.14292v2)

Github: [https://github.com/stanford-oval/WikiChat](https://github.com/stanford-oval/WikiChat)

Abstract:

>This paper presents the first few-shot LLM-based chatbot that almost never hallucinates and has high conversationality and low latency. WikiChat is grounded on the English Wikipedia, the largest curated free-text corpus.
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>WikiChat generates a response from an LLM, retains only the grounded facts, and combines them with additional information it retrieves from the corpus to form factual and engaging responses. **We distill WikiChat based on GPT-4 into a 7B-parameter LLaMA model with minimal loss …

abstract chatbot english facts few-shot form free information latency llm low low latency machinelearning paper text them wikipedia