New Text-to-Big SQL metrics show that LLM agents must balance accuracy with cost and speed at scale, where GPT-4o trades some accuracy for up to 12x speedup and GPT-5.2 proves more cost-effective than Gemini 3 Pro on large inputs.
Companion of the 2024 International Conference on Management of Data , pages =
4 Pith papers cite this work. Polarity classification is still indexing.
years
2026 4verdicts
UNVERDICTED 4representative citing papers
ORM-based test-time verification improves Text-to-SQL accuracy over heuristic selection by up to 4.33% on BIRD and 2.10% on Spider using automated labeling.
ZAS-SQL distills rules from zero-shot Text-to-SQL failures to reach 87.2-88.6% execution accuracy on Spider, new zero-shot SOTA surpassing some GPT-4 few-shot and fine-tuned baselines.
Proposes Distributed Persistence Domain and Persistent CXL Switch to enable low-latency persistence operations at CXL switch level while maintaining crash consistency in disaggregated memory.
citing papers explorer
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Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"?
New Text-to-Big SQL metrics show that LLM agents must balance accuracy with cost and speed at scale, where GPT-4o trades some accuracy for up to 12x speedup and GPT-5.2 proves more cost-effective than Gemini 3 Pro on large inputs.
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Test-Time Verification for Text-to-SQL via Outcome Reward Models
ORM-based test-time verification improves Text-to-SQL accuracy over heuristic selection by up to 4.33% on BIRD and 2.10% on Spider using automated labeling.
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ZAS-SQL: Distilling Rules from Failures for Zero-Shot Text-to-SQL
ZAS-SQL distills rules from zero-shot Text-to-SQL failures to reach 87.2-88.6% execution accuracy on Spider, new zero-shot SOTA surpassing some GPT-4 few-shot and fine-tuned baselines.
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Distributed Persistence Domain for Persistent Memory Pooling
Proposes Distributed Persistence Domain and Persistent CXL Switch to enable low-latency persistence operations at CXL switch level while maintaining crash consistency in disaggregated memory.