1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
Yutao Zhu, Zhaoheng Huang, Zhicheng Dou +1
Retrieval-augmented generation (RAG) is a promising way to improve large language models (LLMs) for generating more factual, accurate, and up-to-date content. Existing methods eith…
cs.CL2024
UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models
Zhaoheng Huang, Zhicheng Dou, Yutao Zhu +1
Large language models (LLMs) may generate text that lacks consistency with human knowledge, leading to factual inaccuracies or \textit{hallucination}. Existing research for evaluat…
cs.CL2022★ 1 cited
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling
Zhaoheng Huang, Zhicheng Dou, Yutao Zhu +1
Personalized chatbots focus on endowing the chatbots with a consistent personality to behave like real users and further act as personal assistants. Previous studies have explored…