Papers by Liam Gallagher
Semantic XPath: Structured Agentic Memory Access for Conversational AI (2026.acl-demo)
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| Challenge: | Early ConvAI agents rely on an in-context approach that appends the growing conversation history to the model input, but this approach scales poorly under context-window limits. |
| Approach: | They propose a tree-structured memory module to access and update structured conversational memory. |
| Outcome: | The proposed system improves over flat-RAG baselines while using only 9.1% of the tokens required by in-context memory. |