Uncertainty Modeling

Xiaohongshu Tech REDtech

Jan 16, 2025 · Artificial Intelligence

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection

The authors present a semantic‑graph‑enhanced uncertainty modeling framework that captures token, sentence, and paragraph dependencies, propagates uncertainty through entity relations and contradiction probabilities, and achieves roughly a 20 % gain in paragraph‑level hallucination detection on WikiBio and NoteSum compared with existing uncertainty‑based baselines.

Hallucination DetectionNatural Language ProcessingSemantic Graph

0 likes · 13 min read

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection

Alimama Tech

Sep 8, 2021 · Artificial Intelligence

Deep Uncertainty-Aware Learning (DUAL) for Click‑Through Rate Prediction and Exploration Strategies

The paper presents Deep Uncertainty‑Aware Learning (DUAL), a scalable Bayesian deep‑learning framework that combines a neural feature extractor with a Gaussian‑process prior to model CTR prediction uncertainty, mitigates feedback‑loop bias, and enables confidence‑driven exploration (UCB and Thompson sampling) that improves long‑term utility while preserving accuracy.

CTR predictionContextual BanditsGaussian Process

0 likes · 15 min read

Deep Uncertainty-Aware Learning (DUAL) for Click‑Through Rate Prediction and Exploration Strategies

Didi Tech

Jan 8, 2021 · Artificial Intelligence

Behavior Prediction in Autonomous Driving Systems: Methods, Challenges, and Uncertainty

The behavior prediction module in autonomous driving forecasts surrounding agents’ future actions using kinematic, map‑based, and machine‑learning methods, models multimodal uncertainty, and informs planning to adopt safer, conservative maneuvers, while research seeks richer features, rare behavior handling, and improved uncertainty representations.

Uncertainty Modelingautonomous drivingbehavior prediction

0 likes · 13 min read

Behavior Prediction in Autonomous Driving Systems: Methods, Challenges, and Uncertainty

Youku Technology

Aug 14, 2019 · Artificial Intelligence

Technical Analysis of “Chang'an” – The Beidou Star System for Reducing Content Uncertainty and Boosting Hit Potential

The talk details how Youku’s Beidou Star AI platform deconstructs the drama “Chang’an Twelve Hours” with NLP, computer‑vision, knowledge graphs and multi‑task deep models to quantify script, character and emotion uncertainty, enabling predictive scoring that lifted the series’ daily index above one million and outlines future hybrid decision‑engine research.

Content AnalyticsMedia PredictionNLP

0 likes · 12 min read