Event-centric memory with query-aware graph augmentation boosts long-term dialogue reasoning

QGMem organizes conversations into event-indexed atomic units and builds a local graph for relevant events, improving retrieval and reasoning over ultra-long contexts.

Chinese Tech
Yichen Liu · Chunfeng Yuan · Haowei Liu · Wenjuan Li · Zefeng Lin · Bing Li · +2 more

Chinese Academy of Sciences · University of Chinese Academy of Sciences · Alibaba Group · PeopleAI Inc. · Renmin University of China

Research Digest··3 min read
Liu et al.

Liu et al.

Why this paper

From Chinese Academy of Sciences and 5 others

In one line

QGMem stores long dialogue histories as event-indexed memory units and builds query-specific local graphs, improving retrieval, multi-hop reasoning, and conflict resolution across six benchmarks.

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