Persona-db: Efficient large language model personalization for response prediction with collaborative data refinement
The increasing demand for personalized interactions with large language models (LLMs)
calls for methodologies capable of accurately and efficiently identifying user opinions and …
calls for methodologies capable of accurately and efficiently identifying user opinions and …
Two tales of persona in llms: A survey of role-playing and personalization
Recently, methods investigating how to adapt large language models (LLMs) for specific
scenarios have gained great attention. Particularly, the concept of\textit {persona}, originally …
scenarios have gained great attention. Particularly, the concept of\textit {persona}, originally …
" It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models
Given the rising proliferation and diversity of AI writing assistance tools, especially those
powered by large language models (LLMs), both writers and readers may have concerns …
powered by large language models (LLMs), both writers and readers may have concerns …
A Comparison of Methods for Evaluating Generative IR
Information retrieval systems increasingly incorporate generative components. For example,
in a retrieval augmented generation (RAG) system, a retrieval component might provide a …
in a retrieval augmented generation (RAG) system, a retrieval component might provide a …
SLOWLY DYING OR RESILIENT? REVISITING THE SECI MODEL AFTER 3 DECADES IN THE CONTEXT OF GENERATIVE AI
TT Richter, J Paul, L Wolf, F Boumdine - ICERI2024 Proceedings, 2024 - library.iated.org
This paper aims to revise Nonaka and Takeuchi's SECI (Socialization, Externalization,
Combination, Internalization) Model in light of recent advancements in Generative Artificial …
Combination, Internalization) Model in light of recent advancements in Generative Artificial …