:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nössig, Albert, Hell, Tobias, Moser, Georg
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2411.00049
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Voting Approach for Explainable Classification with Rule Learning
by: Nössig, Albert, et al.
Published: (2023)

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

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

Learning Mathematical Rules with Large Language Models
by: Gorceix, Antoine, et al.
Published: (2024)

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

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

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

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

Selection of LLM Fine-Tuning Data based on Orthogonal Rules
by: Li, Xiaomin, et al.
Published: (2024)

Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top
by: Cheng, Keyuan, et al.
Published: (2024)

Comparing Feature Importance and Rule Extraction for Interpretability on Text Data
by: Lopardo, Gianluigi, et al.
Published: (2022)

De Jure: Iterative LLM Self-Refinement for Structured Extraction of Regulatory Rules
by: Guliani, Keerat, et al.
Published: (2026)

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
by: Wang, Shenzhi, et al.
Published: (2025)

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment
by: Wang, Xiaohan, et al.
Published: (2024)

From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning
by: Huang, Yuzhen, et al.
Published: (2025)

Do LLMs Follow Their Own Rules? A Reflexive Audit of Self-Stated Safety Policies
by: Mittal, Avni
Published: (2026)

Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
by: Xue, Anton, et al.
Published: (2024)

Learning to Route LLMs with Confidence Tokens
by: Chuang, Yu-Neng, et al.
Published: (2024)

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
by: Liu, Yuliang, et al.
Published: (2025)

Optimal Embedding Learning Rate in LLMs: The Effect of Vocabulary Size
by: Hayou, Soufiane, et al.
Published: (2025)

Enhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments
by: Chakravarty, Abhirup, et al.
Published: (2025)

LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
by: Akgül, Ömer Faruk, et al.
Published: (2025)

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction
by: Parab, Aishni, et al.
Published: (2025)

Health Insurance Coverage Rule Interpretation Corpus: Law, Policy, and Medical Guidance for Health Insurance Coverage Understanding
by: Gartner, Mike
Published: (2025)

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
by: Kumar, Abhishek, et al.
Published: (2024)

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
by: Samory, Mattia, et al.
Published: (2025)

Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph Retrievals
by: Opsahl, Tobias A.
Published: (2024)

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)

Dynamic Vocabulary Pruning in Early-Exit LLMs
by: Vincenti, Jort, et al.
Published: (2024)

Fast Vocabulary Transfer for Language Model Compression
by: Gee, Leonidas, et al.
Published: (2024)

Confidence Regulation Neurons in Language Models
by: Stolfo, Alessandro, et al.
Published: (2024)

RuleForge: Automated Generation and Validation for Web Vulnerability Detection at Scale
by: Garg, Ayush, et al.
Published: (2026)

Lossless Vocabulary Reduction for Auto-Regressive Language Models
by: Chijiwa, Daiki, et al.
Published: (2025)

A Family of LLMs Liberated from Static Vocabularies
by: Alpha, Aleph, et al.
Published: (2026)

How do LLMs Compute Verbal Confidence
by: Kumaran, Dharshan, et al.
Published: (2026)

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space
by: Katz, Shahar, et al.
Published: (2024)

Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation
by: Chen, Daiwei, et al.
Published: (2026)

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
by: Mitra, Shaswata, et al.
Published: (2025)

Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints
by: Chittepu, Yaswanth, et al.
Published: (2025)

RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation
by: Lee, Juhyeon, et al.
Published: (2026)