Author

Csiro

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Preprint Jul 2026

Interpretable Column Annotation with LLM-Symbolized Decision Process Materialization

SymCA is an LLM-empowered interpretable CA framework that materializes column annotation as a global-to-local symbolic decision process and is accurate, robust, and interpretable.

Mengqi Wang, Jianwei Wang, Qing Liu et al. · 0 citations

Jul 2026

Reproducing LightMem: Naive RAG Is Just as Good for Memory Management

Overall, LightMem offers a context-efficiency trade-off rather than a general advantage over Naive RAG, whose value depends on the retriever and available token budget, motivating future work on retrieval, reranking, query formulation, and their interaction with raw and constructed memory representations.

Yong Zhou, Shuai Wang, B. Koopman et al. · arXiv.org · 0 citations