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Bibliographic Details
Main Authors:	Casabianca, Jodi M., Beiting-Parrish, Maggie
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2602.22585
Tags:	Add Tag No Tags, Be the first to tag this record!

From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models
by: Quaye, Jessica, et al.
Published: (2025)

MLV$^2$-Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel Segmentation
by: Bongratz, Fabian, et al.
Published: (2024)

DataRater: Meta-Learned Dataset Curation
by: Calian, Dan A., et al.
Published: (2025)

Can Active Label Correction Improve LLM-based Modular AI Systems?
by: Taneja, Karan, et al.
Published: (2024)

From Feature-Based Models to Generative AI: Validity Evidence for Constructed Response Scoring
by: Casabianca, Jodi M., et al.
Published: (2026)

Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)

TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning
by: Li, Mengyang
Published: (2025)

Principled Evaluation with Human Labels: One Rater at a Time and Rater Equivalence
by: Resnick, Paul, et al.
Published: (2021)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
by: Jurenka, Irina, et al.
Published: (2024)

Holistic Safety and Responsibility Evaluations of Advanced AI Models
by: Weidinger, Laura, et al.
Published: (2024)

Learning to Clean: Reinforcement Learning for Noisy Label Correction
by: Heidari, Marzi, et al.
Published: (2025)

Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
by: Stromberg, Nathan, et al.
Published: (2024)

The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
by: Bulut, Okan, et al.
Published: (2024)

NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training
by: Wu, Fang, et al.
Published: (2026)

Approaches to Responsible Governance of GenAI in Organizations
by: Gandhi, Dhari, et al.
Published: (2025)

GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
by: Sulaiman, Modar, et al.
Published: (2025)

Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
by: Jiang, Xuefeng, et al.
Published: (2024)

NudgeRank: Digital Algorithmic Nudging for Personalized Health
by: Chiam, Jodi, et al.
Published: (2024)

Validity Arguments For Constructed Response Scoring Using Generative Artificial Intelligence Applications
by: Casabianca, Jodi M., et al.
Published: (2025)

Labels or Preferences? Budget-Constrained Learning with Human Judgments over AI-Generated Outputs
by: Dong, Zihan, et al.
Published: (2026)

LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
by: Li, Chu, et al.
Published: (2024)

Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
by: Chang, Trenton, et al.
Published: (2024)

SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
by: Kodge, Sangamesh, et al.
Published: (2024)

pAI/MSc: ML Theory Research with Humans on the Loop
by: Abdelmoneum, Mahmoud, et al.
Published: (2026)

Co-Pilot for Health: Personalized Algorithmic AI Nudging to Improve Health Outcomes
by: Chiam, Jodi, et al.
Published: (2024)

Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts
by: Huang, Weipeng, et al.
Published: (2025)

FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
by: Yu, Seunghun, et al.
Published: (2025)

AI Alignment via Incentives and Correction
by: Agarwal, Rohit, et al.
Published: (2026)

A Confidence-Variance Theory for Pseudo-Label Selection in Semi-Supervised Learning
by: Liu, Jinshi, et al.
Published: (2026)

Variance-Bounded Evaluation of Entity-Centric AI Systems Without Ground Truth: Theory and Measurement
by: Ding, Kaihua
Published: (2025)

Position: AI Evaluations Should be Grounded on a Theory of Capability
by: Jo, Nathanael, et al.
Published: (2025)

UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions
by: Rogoz, Ana-Cristina, et al.
Published: (2024)

Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
by: Xu, Zhiyu, et al.
Published: (2025)

Monodense Deep Neural Model for Determining Item Price Elasticity
by: Garg, Lakshya, et al.
Published: (2026)

Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
by: Zhang, Runze, et al.
Published: (2025)

Revisiting Rogers' Paradox in the Context of Human-AI Interaction
by: Collins, Katherine M., et al.
Published: (2025)

Towards a Theory of AI Personhood
by: Ward, Francis Rhys
Published: (2025)

Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels
by: Moghaddam, Alireza Sedighi, et al.
Published: (2025)

Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
by: Huang, Yiran, et al.
Published: (2024)

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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