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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

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4 results for “multi-choice”

Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcingcs.HC

Paper recovers top-two answers and confusion probability in multi-choice crowdsourcing.

problem Recovering top-two answers and confusion probability in multi-choice crowdsourcing tasks.

method Proposes a two-stage inference algorithm based on a model quantifying task difficulty and worker reliability.

result Achieves minimax optimal convergence rate and outperforms other algorithms in synthetic and real data experiments.

crowdsourcing multi-choice top-two answers confusion probability minimax optimal

2022-12-29abs ↗pdf ↗

Conformal Prediction with Large Language Models for Multi-Choice Question Answeringcs.CL

This work uses conformal prediction to quantify uncertainty in large language models for multiple-choice questions.

problem Ensuring robustness and reliability of large language models in high-stakes applications.

method Conformal prediction applied to multi-choice question answering.

result Uncertainty estimates from conformal prediction are closely related to prediction accuracy.

large language models multi-choice question answering conformal prediction robustness uncertainty quantification

2023-05-28abs ↗pdf ↗

Reinforcement Learning in Credit Scoring and Underwritingstat.ML

Paper uses RL for better credit scoring and underwriting.

problem Traditional underwriting methods are ungeneralizable in complex scenarios.

method Adapts RL principles for credit scoring, incorporating action space renewal and multi-choice actions.

result RL-based algorithms outperform traditional methods in aligned data scenarios.

reinforcement learning credit scoring underwriting machine learning decision making

2022-12-15abs ↗pdf ↗

Dual Based DSP Bidding Strategy and its Applicationstat.ML

In recent years, RTB(Real Time Bidding) becomes a popular online advertisement trading method. During the auction, each DSP(Demand Side Platform) is supposed to evaluate current opportunity and respond with an ad and corresponding bid price. It's essential for DSP to find an optimal ad selection and bid price determina…

2017-05-26abs ↗pdf ↗