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Memory Shot for Long-Term Dialogue

Chunyi Peng1*, Haidong Xin1*, Xuanshuo Sheng1, Xin Dai1, Zhenghao Liu1†,
Shuo Wang2, Yukun Yan2, Zulong Chen3, Yu Gu1, Ge Yu1

1Northeastern University, 2Tsinghua University, 3Alibaba Group

Introduction

MemShot overview

MemShot is an image-rendered memory representation for long-term dialogue modeling. It converts dialogue sessions into structured visual memory units, preserving turn order and meta-information while avoiding heavy textual memory construction.

For code, scripts, and usage details, please see the GitHub repository: NEUIR/MemShot.

Data

Folder Size Description
MemShot 948 x 768 px Split-session images. Each image contains at most 2 turn pairs.
MemShot_full_session 948 px wide, adaptive height Full-session images rendered from LoCoMo sessions.

Citation

If you use this dataset, please cite the original LoCoMo dataset and this repository.

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