Order-Invariant Answers, Order-Sensitive Representations in Mathematical Reasoning
cs.LG, cs.AI, cs.CL, cs.SC
Submitted: 2026-09-23
Updated: 2026-09-30
Terminology
Sources
- Premise Order Matters in Reasoning with Large Language Models
- FOLIO: Natural Language Reasoning with First-Order Logic
- Investigating the Robustness of Deductive Reasoning with Large Language Models
- Evaluating the Robustness of Analogical Reasoning in Large Language Models
- Tracing the Representation Geometry of Language Models from Pretraining to Post-training
- The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets
- GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
- The Linear Representation Hypothesis and the Geometry of Large Language Models
- LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
- Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
- Layer by Layer: Uncovering Hidden Representations in Language Models
- ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
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