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.

168,695 papers · 148 categories

Trend · papers per month

count % of corpus

2 results for “Superforecasters”

Indian Stock Market Prediction using Augmented Financial Intelligence MLq-fin.TR

Paper predicts stock prices using ML and human intelligence.

problem Uncertainty in stock price prediction.

method ML models (LSTM, ARIMA, CNN-LSTM, GRU, LSTM-GRU) augmented with Superforecasters predictions.

result Superforecasters' predictions improve stock price prediction accuracy.

stock market prediction Machine Learning Superforecasters Mean Absolute Error uncertainty

2024-07-02abs ↗pdf ↗

PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitragecs.AI

PolySwarm uses a swarm of LLMs to predict and arbitrage prediction markets.

problem Real-time prediction market trading and latency arbitrage inefficiencies.

method PolySwarm employs a swarm of 50 diverse LLMs, Bayesian combination, and risk-controlled execution.

result Swarm aggregation outperforms single-model baselines in prediction tasks.

prediction markets latency arbitrage large language models Bayesian combination risk-controlled execution

2026-04-04abs ↗pdf ↗