# Topic-Guided Self-Introduction Generation for Social Media Users

Source: [Topic-Guided Self-Introduction Generation for Social Media Users](<https://www.sota2.com/research/paper/68fa6f7e1e209131cea45f4b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-01-02T02:40:53.883Z

Authors: Chunpu Xu, Jing Li, Piji Li, Min Yang

Published: 2023-05-24T13:35:08.000Z

## Abstract

Millions of users are active on social media. To allow users to better showcase themselves and network with others, we explore the auto-generation of social media self-introduction, a short sentence outlining a user's personal interests. While most prior work profiles users with tags (e.g., ages), we investigate sentence-level self-introductions to provide a more natural and engaging way for users to know each other. Here we exploit a user's tweeting history to generate their self-introduction. The task is non-trivial because the history content may be lengthy, noisy, and exhibit various personal interests. To address this challenge, we propose a novel unified topic-guided encoder-decoder (UTGED) framework; it models latent topics to reflect salient user interest, whose topic mixture then guides encoding a user's history and topic words control decoding their self-introduction. For experiments, we collect a large-scale Twitter dataset, and extensive results show the superiority of our UTGED to the advanced encoder-decoder models without topic modeling.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Self-introduction generation on Twitter Self-introduction (test)](<https://www.sota2.com/research/sota/self-introduction-generation-on-twitter-self-introduction-test.md>): Self-introduction generation; Twitter Self-introduction (test); Fluency: 3.66.

- [Self-introduction generation on Twitter (test)](<https://www.sota2.com/research/sota/self-introduction-generation-on-twitter-test.md>): Self-introduction generation; Twitter (test); ROUGE-1 Score: 24.99.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2305.15138>)

[PDF](<https://arxiv.org/pdf/2305.15138.pdf>)

[Implementation](<https://github.com/cpaaax/UTGED>)