On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,786 papers · 148 categories

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7 results for “Text-to-SQL”

Bertrand-DR: Improving Text-to-SQL using a Discriminative Re-rankercs.CL

Improves text-to-SQL models by selecting the best SQL query from beam output.

problem Simplifying database query writing for natural language questions.

method Discriminative re-ranker using BERT fine-tuned classifier.

result Achieved top 4 score on Spider leaderboard.

text-to-SQL re-ranker BERT discriminative query selection

2020-02-03abs ↗pdf ↗

Byte-Pair Encoding for Text-to-SQL Generationcs.CL

BPE improves text-to-SQL generation by reducing training time and improving accuracy.

problem Improving text-to-SQL generation accuracy with neural models.

method Adapted Byte-Pair Encoding (BPE) for SQL generation, introduced a novel stopping criterion, and used AST BPE.

result Improved accuracy on 5 out of 6 English text-to-SQL tasks, reduced training time by 50%.

text-to-SQL neural seq2seq BPE overfitting AST

2019-10-20abs ↗pdf ↗

SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoisingcs.CL

Paper improves text-to-SQL models with schema-aware denoising.

problem Text-to-SQL models struggle with schema linking and grammar correctness.

method Adapts transformer-based seq-to-seq model with SeaD denoising objectives and clause-sensitive decoding.

result Improves seq-to-seq model performance on WikiSQL benchmark.

text-to-SQL schema-aware denoising transformer seq-to-seq

2021-05-17abs ↗pdf ↗

Robust Active Learning for Few-Shot Example Selection in Text-to-SQLstat.ML

Active learning selects high-quality examples for text-to-SQL systems.

problem Efficiently annotate large language models for text-to-SQL systems.

method Formalizes example selection as a constrained experimental design problem over semantic query embeddings, proposing a stratified greedy algorithm that maximizes heteroscedastic mutual information.

result Proposed method significantly reduces labeling effort while maintaining high text-to-SQL retrieval accuracy.

active learning few-shot example retrieval text-to-SQL semantic query embeddings heteroscedasticity

2026-06-08abs ↗pdf ↗

FINCH: Financial Intelligence using Natural language for Contextualized SQL Handlingq-fin.CP

FINCH dataset enables financial Text-to-SQL tasks, improving model evaluation.

problem Lack of a large-scale financial dataset for Text-to-SQL tasks.

method Curated financial dataset (FINCH), benchmarking reasoning and language models.

result Proposed FINCH Score for more accurate financial model evaluation.

Text-to-SQL Financial dataset Benchmarking Model evaluation Natural language processing

2025-10-02abs ↗pdf ↗

Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parserscs.LG

When translating natural language questions into SQL queries to answer questions from a database, we would like our methods to generalize to domains and database schemas outside of the training set. To handle complex questions and database schemas with a neural encoder-decoder paradigm, it is critical to properly encod…

2019-06-27abs ↗pdf ↗

Post-Selection Distributional Model Evaluationstat.ML

PS-DME evaluates model performance and reliability after data-dependent selection.

problem Evaluating model performance and reliability when data is used for selection and evaluation.

method Post-selection distributional model evaluation (PS-DME) using e-values to control false coverage rate.

result PS-DME provides reliable comparison of model configurations across different reliability levels.

model evaluation post-selection bias distributional model assessment e-values false coverage rate

2026-03-24abs ↗pdf ↗