GRACE-Mem: Graph Retrieval with Agentic Curation of Evidence for Long-Term Conversational Memory
EMNLP 2026 Workshop on Automated Knowledge Base Construction (AKBC) · Accepted · Featured Paper · Best Paper Award candidate
A long-term conversational memory system that combines graph retrieval with agent operations for evidence curation. With GPT-4o-mini it reaches 85.3% on LoCoMo and 73.2% on LongMemEval-S. I built the agent layer and graph ingestion and ran every experiment in the paper.