Papers with memory design

2 papers
R3Mem: Bridging Memory Retention and Retrieval via Reversible Compression (2025.findings-acl)

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Challenge: Existing memory solutions that store information via parameters struggle with reliable retrieval.
Approach: They propose a memory network that optimizes both information Retention and Retrieval through Reversible context compression.
Outcome: The proposed memory network outperforms conventional memory modules in long-horizon interaction tasks like conversational agents and achieves state-of-the-art performance in language modeling and retrieval-augmented generation tasks.
Multi-Level Memory for Task Oriented Dialogs (N19-1)

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Challenge: Recent task oriented dialog systems use memory architectures to incorporate external knowledge in their dialogs.
Approach: They propose a novel multi-level memory architecture that separates dialog context and knowledge base results . they use cells for each query and their corresponding results to address queries .
Outcome: The proposed architecture outperforms current state-of-the-art models on three publicly available data sets.

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