Database Paper Browser

Back to papers

SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint

Summary: SpareLLM selects task-specific, minimum-cost LLMs with an output-equivalence constraint. Profiling-first approach and heterogeneous model cascades yield Pareto-optimal cost-accuracy tradeoffs, up to 8.6x savings and 90% equivalence to GPT-4-Turbo. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7270
Venue
SIGMOD
Year
2025
Pagerank
4.7579469e-05
Overall Rank
7,339 | 48.95%
DOI
10.1145/3725356

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers