MARK proposes persistent refined-memory agents and a weighted relevance formula, and reports improved MedMCQA chatbot scores in a small, likely overlapping train-and-test setup.
Memory Matters: The Need to Improve Long-Term Memory in LLM Agents,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
MARK: Memory Augmented Refinement of Knowledge
MARK proposes persistent refined-memory agents and a weighted relevance formula, and reports improved MedMCQA chatbot scores in a small, likely overlapping train-and-test setup.