RuleWeaver: Benchmarking Rule-Centered Scenario Reasoning for Large Language Models

arXiv:2608.26832 · cs.CL · Submitted 2026-08-27 · Read on arXiv

cs.CL

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/openai/tiktoken

Terminology

• Benchmark — 27× in this paper · explained in 2 episodes
• Consistency — 12× in this paper · explained in 3 episodes
• Aggregation — 11× in this paper · explained in 1 episode
• Alignment — 11× in this paper · explained in 1 episode
• Benchmarking — 5× in this paper · explained in 4 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Information Leakage — 4× in this paper · explained in 2 episodes
• APEX — 3× in this paper · explained in 1 episode
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Regret — 2× in this paper · explained in 3 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models
• Transformers as Soft Reasoners over Language
• GLM-5: from Vibe Coding to Agentic Engineering
• LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
• FOLIO: Natural Language Reasoning with First-Order Logic
• CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
• WikiHow: A Large Scale Text Summarization Dataset
• Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning
• Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory
• GPT-4 Technical Report
• LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
• Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
• Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation
• Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
• TaskBench: Benchmarking Large Language Models for Task Automation
• ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
• A Survey of Large Language Models
• AR-LSAT: Investigating Analytical Reasoning of Text

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering