Evergreen: Efficient Claim Verification for Semantic Aggregates
Summary: Evergreen treats verification of LLM-generated semantic aggregates as declarative semantic queries, reusing the producing engine and returning tuple-level provenance. Verification-aware stopping, ranking, confidence estimation, and query optimizations cut costs while preserving or improving accuracy. (summarized by gpt-6-luna on Oct 08 2026)
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Authors
- 1. Alexander W. Lee (Brown University; Snowflake)
- 2. Benjamin Han (Snowflake)
- 3. Shayak Sen (Snowflake)
- 4. Sam Yeom (Snowflake)
- 5. Uğur Çetintemel (Brown University; Snowflake)
- 6. Anupam Datta (Snowflake)
BibTeX Citation
@article{lee_vldb27,
title = {{Evergreen: Efficient Claim Verification for Semantic Aggregates}},
author = {Lee, Alexander W. and Han, Benjamin and Sen, Shayak and Yeom, Sam and Çetintemel, Uğur and Datta, Anupam},
journal = {PVLDB},
series = {{VLDB} '27},
volume = {20},
number = {1},
pages = {16--30},
doi = {10.14778/3845598.3845600},
url = {https://doi.org/10.14778/3845598.3845600},
year = {2027}
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