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LICO: An SIMD-Aware High-Performance Learned Inverted Index Compression Framework

Summary: LICO is an SIMD-aware learned inverted-index compressor using error-bounded models plus residuals for lossless decoding. It automatically adapts to distributions, provides theoretical compression guarantees, and achieves Pareto-optimal size/latency versus classical and learned schemes. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7452
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,261 | 29.61%
DOI
10.1145/3802079

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BibTeX Citation

@inproceedings{zhu_sigmod26,
        title = {{LICO: An SIMD-Aware High-Performance Learned Inverted Index Compression Framework}},
        author = {Zhu, Xianyu and Liu, Qiyu and Zhang, Guangyi and Sha, Zhibing and Liao, Jianwei and Hu, Sha and Chen, Lei},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802079},
        url = {https://dl.acm.org/doi/10.1145/3802079},
        year = {2026}
}

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