datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MBTI_dpo_t_f
Multi-Personality Generation of LLMs at Decoding-time
Paper | Code
This repository contains the DPO (Direct Preference Optimization) datasets used in the paper "Multi-Personality Generation of LLMs at Decoding-time". The study introduces the Multi-Personality Generation (MPG) framework, a novel decoding-time paradigm that enables LLMs to simultaneously embody multiple personalization attributes without extra training.
The datasets include:
🧩 MBTI Datasets
These… See the full description on the dataset page: https://huggingface.co/datasets/RongxinChen/MBTI_dpo_t_f.MBTI_dpo_j_p
Multi-Personality Generation of LLMs at Decoding-time
Paper | Code
This repository contains datasets released as part of the paper "Multi-Personality Generation of LLMs at Decoding-time". The work proposes a novel Multi-Personality Generation (MPG) framework that allows Large Language Models (LLMs) to embody multiple personalization attributes simultaneously at decoding time without extra training.
Datasets
The project releases several DPO (Direct Preference… See the full description on the dataset page: https://huggingface.co/datasets/RongxinChen/MBTI_dpo_j_p.MBTI_dpo_e_i
Multi-Personality Generation (MPG) Datasets
Paper | GitHub
This repository contains datasets released as part of the paper "Multi-Personality Generation of LLMs at Decoding-time", which was accepted at WSDM 2026.
Introduction
The Multi-Personality Generation (MPG) framework enables Large Language Models to simultaneously embody multiple personalization attributes during decoding without requiring extra training. It leverages implicit density ratios in single-dimensional… See the full description on the dataset page: https://huggingface.co/datasets/RongxinChen/MBTI_dpo_e_i.MBTI_dpo_s_n
Multi-Personality Generation of LLMs at Decoding-time
Paper | GitHub
This repository contains datasets released as part of the paper "Multi-Personality Generation of LLMs at Decoding-time". These datasets are designed for Direct Preference Optimization (DPO) to enhance the personality and role-playing capabilities of Large Language Models within the Multi-Personality Generation (MPG) framework.
Dataset Description
The authors released two main types of DPO datasets:… See the full description on the dataset page: https://huggingface.co/datasets/RongxinChen/MBTI_dpo_s_n.