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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.

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3 results for “multi-evidence”

Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoningcs.AI

LPF provides formal guarantees for aggregating multi-evidence in probabilistic tasks.

problem Lack of formal guarantees for multi-evidence reasoning in AI.

method LPF uses variational autoencoders and Sum-Product Networks to aggregate evidence items.

result Proves multiple formal guarantees including calibration preservation and error decay.

Latent Posterior Factors Multi-Evidence Reasoning Calibration Preservation Monte Carlo Error PAC-Bayes Bound

2026-03-13abs ↗pdf ↗

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verificationcs.CL

GEAR uses graphs to integrate and reason over multiple evidence for fact verification.

problem Fact verification requires integrating and reasoning over multiple pieces of evidence.

method GEAR employs a graph-based framework to transfer information among evidence and uses BERT for improved performance.

result GEAR achieves a promising test FEVER score of 67.10% on a large-scale benchmark dataset.

fact verification multi-evidence graph-based reasoning BERT

2019-07-22abs ↗pdf ↗

Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learningcs.CV

Supervised object detection and semantic segmentation require object or even pixel level annotations. When there exist image level labels only, it is challenging for weakly supervised algorithms to achieve accurate predictions. The accuracy achieved by top weakly supervised algorithms is still significantly lower than …

2018-02-26abs ↗pdf ↗