Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations (2023.emnlp-main)
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| Challenge: | open-domain chatbots focus on short single-session dialogue, neglecting the potential need for understanding contextual information in multiple consecutive sessions. |
| Approach: | They propose a 1M multi-session dialogue dataset for integrating time intervals and speaker relationships into a long-term conversation setup. |
| Outcome: | The proposed model can generate coherent responses according to time intervals and speaker relationships with high user engagement without contradiction in a long-term conversation setup. |
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| Challenge: | Despite recent improvements in open-domain dialogue models, state of the art models are trained and evaluated on short conversations with little context. |
| Approach: | They propose to use retrieval-augmented methods to summarize and recall past conversations to improve their models. |
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Long Time No See! Open-Domain Conversation with Long-Term Persona Memory (2022.findings-acl)
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| Challenge: | Existing persona dialogue datasets and models can build long-term relationships with humans . however, current open-domain dialogue systems cannot build long relationships with users . |
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| Challenge: | Existing approaches to managing non-linear dialogue flow are misaligned with the intrinsically hierarchical and branching structure of natural discourse. |
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Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation (2023.findings-emnlp)
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| Challenge: | a gap between conversations can be weeks, months or years, and dialogue systems which do not explicitly model time may generate unnatural responses. |
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| Challenge: | Existing studies on long-term open-domain dialogues focus on evaluating responses within contexts spanning no more than five chat sessions. |
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Hao Yang, Hongyuan Lu, Xinhua Zeng, Yang Liu, Xiang Zhang, Haoran Yang, Yumeng Zhang, Shan Huang, Yiran Wei, Wai Lam
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Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances (2021.acl-long)
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| Challenge: | Recent intelligent open-domain chatbots have made substantial progress thanks to the rapid development of large-scale pre-training approaches. |
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Keep Me Updated! Memory Management in Long-term Conversations (2022.findings-emnlp)
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Sanghwan Bae, Donghyun Kwak, Soyoung Kang, Min Young Lee, Sungdong Kim, Yuin Jeong, Hyeri Kim, Sang-Woo Lee, Woomyoung Park, Nako Sung
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Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge (2024.findings-emnlp)
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| Challenge: | Existing studies focus on image-sharing behavior in singular sessions, leading to limited long-term social interaction. |
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Summarization of Dialogues and Conversations At Scale (2023.eacl-tutorials)
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| Challenge: | Conversations are the natural communication format for people. |
| Approach: | This tutorial will survey the cutting-edge methods for summarizing written and spoken conversation. |
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