mlsanityData to 14 Oct 2026

SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script

arXiv 2410.20682 ↗First posted 28 Oct 2024cs.CLcited by 7

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Abstract (arXiv)

Shared memories between two individuals strengthen their bond and are crucial for facilitating their ongoing conversations. This study aims to make long-term dialogue more engaging by leveraging these shared memories. To this end, we introduce a new long-term dialogue dataset named SHARE, constructed from movie scripts, which are a rich source of shared memories among various relationships. Our dialogue dataset contains the summaries of persona information and events of two individuals, as explicitly revealed in their conversation, along with implicitly extractable shared memories. We also introduce EPISODE, a long-term dialogue framework based on SHARE that utilizes shared experiences between individuals. Through experiments using SHARE, we demonstrate that shared memories between two individuals make long-term dialogues more engaging and sustainable, and that EPISODE effectively manages shared memories during dialogue. Our dataset and code are available at https://github.com/e1kim/SHARE.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 17 of its 32 references that are in the map. First posted on arXiv 28 Oct 2024.

Builds on

17 of 32 references.

References · 17

  1. 2024The Llama 3 Herd of Modelscited by 14,715
  2. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
  3. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  4. 2023G-Eval: NLG Evaluation using GPT-4 with Better Human Alignmentcited by 2,276
  5. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,077
  6. 2024Evaluating Very Long-Term Conversational Memory of LLM Agentscited by 830
  7. 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 267
  8. 2022SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualizationcited by 168
  9. 2022Long Time No See! Open-Domain Conversation with Long-Term Persona Memorycited by 108
  10. 2023MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversationcited by 97
  11. 2022Keep Me Updated! Memory Management in Long-term Conversationscited by 63
  12. 2023Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversationscited by 47
5 more
  1. 2024Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversationscited by 36
  2. 2024PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answeringcited by 34
  3. 2024Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinementcited by 14
  4. 2023Mind the Gap Between Conversations for Improved Long-Term Dialogue Generationcited by 13
  5. 2023WHAT, WHEN, and HOW to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialoguecited by 10

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 3.

7 papers.

  1. 2026From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanismscited by 21
  2. 2025Mem-PAL: Towards Memory-based Personalized Dialogue Assistants for Long-term User-Agent Interactioncited by 11
  3. 2025From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactionscited by 8
  4. 2025Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMscited by 2
  5. 2025EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systemscited by 2
  6. 2026Memory Has Geometry: Non-Uniform Geometric Memory for Long-Horizon Personalized AIcited by 1
  7. 2026Knowing the User Is Not Knowing What We Established: Grounding Awareness in Personal Agentscited by 0