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stickerconv's Introduction

StickerConv: Generating Multimodal Empathetic Responses from Scratch

Update

  • 2024-05-16: Our paper is accepted by ACL 2024 Main! 🎉
  • 2024-02-16: Submission version.
  • 2024-01-20: Ongoing work.

🍀 Overview

The overview of Agent4SC.

The architecture of PEGS framework.

⚛️ StickerConv Dataset

An example of multimodal conversation in our StickerConv dataset.

💻 Case Study

Examples of conversations by users interacting with PEGS. Users can chat with multimodal content (text and stickers) and will receive multimodal empathetic responses. Left: a conversation characterized by positive emotion (happiness). Right: a conversation characterized by negative emotion (sadness).

🍀 Overview

Related Work

SER30K: A Large-Scale Dataset for Sticker Emotion Recognition

Llava-v1: Visual Instruction Tuning

Generative Agents: Interactive Simulacra of Human Behavior

stickerconv's People

Contributors

zhangyiqun018 avatar friedrichor avatar control-derek avatar

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