TrackMem: Tracking Evolving Beliefs in Long-Horizon Financial Dialogue
TrackMem uses per-speaker graph memory to track revised figures and shifting stances across sessions in financial dialogues where facts change over time.
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TrackMem uses per-speaker graph memory to track revised figures and shifting stances across sessions in financial dialogues where facts change over time.
Raw-RAG ranked first in six of seven settings, ahead of the best agentic system by 0.13 to 5.53 points.
Fortunate Recall introduces ontology-based lifecycle policies for LLM memory, cutting confabulation roughly in half (e.g., 45.1% to 22.4%) versus Mem0.
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