Papers by Hanqi Jiang

1 papers
Synapse: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation (2026.findings-acl)

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Challenge: Large Language Models excel at generalized reasoning, but lack the ability to accumulate experiences and maintain narrative coherence over long horizons.
Approach: They propose a unified memory architecture that transcends static vector similarity.
Outcome: The proposed model outperforms state-of-the-art methods in temporal and multihop reasoning tasks.

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