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.

168,932 papers · 148 categories

Trend · papers per month

count % of corpus

3 results for “Starbucks”

Empirical Study on Detecting Controversy in Social Mediacs.SI

System detects controversial events on social media and impacts markets.

problem Lack of systematic data on company social consciousness and sustainability.

method Uses Twitter data to identify and validate controversial events.

result Validated controversial events impact market volatility.

social media controversy detection market volatility Twitter data Starbucks

2019-08-25abs ↗pdf ↗

From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extractionstat.ML

LLM extracts actionable insights from customer reviews.

problem Extracting actionable insights from customer reviews.

method Large language model approach distinguishing perceptual attributes from actionable features.

result High consistency and predictive validity of LLM insights compared to human coders.

large language model customer reviews actionable insights marketing dashboard sentiment analysis

2025-10-18abs ↗pdf ↗

Significance-First Splitting: Aligning Treatment Heterogeneity Detection with Honest Estimationstat.ME

A hybrid algorithm fuses significance-based splitting with honest sample-splitting for estimating heterogeneous treatment effects.

problem Estimating heterogeneous treatment effects while maintaining valid inference.

method Significance-first splitting using a squared

t

-statistic for treatment

imes

side interaction.

result Achieves approximately 90% CI coverage at the 90% nominal level across various synthetic designs and datasets.

heterogeneous treatment effects significance-based splitting honest causal trees treatment effect modification valid inference

2026-07-04abs ↗pdf ↗