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Bibliographic Details
Main Authors:	Lal, G Roshan, Chen, Xiaotong, Mithal, Varun
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2206.14359
Tags:	Add Tag No Tags, Be the first to tag this record!

Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
by: Dhanraj, Varun, et al.
Published: (2025)

Interpretable Representation Learning for Additive Rule Ensembles
by: Behzadimanesh, Shahrzad, et al.
Published: (2025)

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
by: Du, Xin, et al.
Published: (2021)

An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
by: Li, Jinbo, et al.
Published: (2025)

Explaining Time Series Classifiers with PHAR: Rule Extraction and Fusion from Post-hoc Attributions
by: Mozolewski, Maciej, et al.
Published: (2025)

RuleR: Improving LLM Controllability by Rule-based Data Recycling
by: Li, Ming, et al.
Published: (2024)

Rule by Rule: Learning with Confidence through Vocabulary Expansion
by: Nössig, Albert, et al.
Published: (2024)

Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)

Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
by: Kotal, Anantaa, et al.
Published: (2023)

eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules
by: Sun, Ye, et al.
Published: (2024)

Neuro-Symbolic Rule Lists
by: Xu, Sascha, et al.
Published: (2024)

Optimal Pattern Detection Tree for Symbolic Rule-Based Classification
by: Hong, Young-Chae, et al.
Published: (2026)

CORTEX: A Cost-Sensitive Rule and Tree Extraction Method
by: Kopanja, Marija, et al.
Published: (2025)

RIFF: Inducing Rules for Fraud Detection from Decision Trees
by: Martins, João Lucas, et al.
Published: (2024)

Understanding Expressivity of GNN in Rule Learning
by: Qiu, Haiquan, et al.
Published: (2023)

Representing Rule-based Chatbots with Transformers
by: Friedman, Dan, et al.
Published: (2024)

"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts
by: Babbar, Varun, et al.
Published: (2024)

Can LLMs Follow Simple Rules?
by: Mu, Norman, et al.
Published: (2023)

Can Global XAI Methods Reveal Injected Bias in LLMs? SHAP vs Rule Extraction vs RuleSHAP
by: Sovrano, Francesco
Published: (2025)

Learning Rules Explaining Interactive Theorem Proving Tactic Prediction
by: Zhang, Liao, et al.
Published: (2024)

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
by: Liu, Tianyu, et al.
Published: (2024)

RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling
by: Liu, Yang, et al.
Published: (2025)

Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules
by: Zhang, Yi, et al.
Published: (2024)

Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction
by: Chen, Yu, et al.
Published: (2024)

Interpretable Hybrid-Rule Temporal Point Processes
by: Cao, Yunyang, et al.
Published: (2025)

Fuzzy Rule-based Differentiable Representation Learning
by: Zhang, Wei, et al.
Published: (2025)

Model Ensembling for Constrained Optimization
by: Globus-Harris, Ira, et al.
Published: (2024)

Random Rule Forest (RRF): Interpretable Ensembles of LLM-Generated Questions for Predicting Startup Success
by: Griffin, Ben, et al.
Published: (2025)

On Training Survival Models with Scoring Rules
by: Kopper, Philipp, et al.
Published: (2024)

AutoRule: Reasoning Chain-of-thought Extracted Rule-based Rewards Improve Preference Learning
by: Wang, Tevin, et al.
Published: (2025)

Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing
by: Kumar, Shashi Shekhar, et al.
Published: (2024)

RulE: Knowledge Graph Reasoning with Rule Embedding
by: Tang, Xiaojuan, et al.
Published: (2022)

Dynamic Interpretability for Model Comparison via Decision Rules
by: Rida, Adam, et al.
Published: (2023)

Automatically Finding Rule-Based Neurons in OthelloGPT
by: Singh, Aditya, et al.
Published: (2025)

Sign-Symmetry Learning Rules are Robust Fine-Tuners
by: Berriche, Aymene, et al.
Published: (2025)

Learning Interpretable Rules for Scalable Data Representation and Classification
by: Wang, Zhuo, et al.
Published: (2023)

Differentiable Rule Induction from Raw Sequence Inputs
by: Gao, Kun, et al.
Published: (2026)

RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts
by: Patrikar, Jay, et al.
Published: (2024)

Towards Physiologically Sensible Predictions via the Rule-based Reinforcement Learning Layer
by: Zhu, Lingwei, et al.
Published: (2025)

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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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