Cover Image

Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meek, Austin, Sprejer, Eitan, Arcuschin, Iván, Brockmeier, Austin J., Basart, Steven
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
by: Arcuschin, Iván, et al.
Published: (2025)

Measuring Faithfulness Depends on How You Measure: Classifier Sensitivity in LLM Chain-of-Thought Evaluation
by: Young, Richard J.
Published: (2026)

Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization
by: Zaman, Kerem, et al.
Published: (2025)

Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization
by: Sun, Jingyi, et al.
Published: (2026)

Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory
by: Anwar, Usman, et al.
Published: (2026)

Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders
by: Lan, Michael, et al.
Published: (2024)

Approximating Human Preferences Using a Multi-Judge Learned System
by: Sprejer, Eitán, et al.
Published: (2025)

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
by: Xu, Weijia, et al.
Published: (2023)

Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning
by: Li, Miao, et al.
Published: (2026)

Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)

A Formal Comparison Between Chain of Thought and Latent Thought
by: Xu, Kevin, et al.
Published: (2025)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)

FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning
by: Xie, Zhuohan, et al.
Published: (2025)

Demystifying Chains, Trees, and Graphs of Thoughts
by: Besta, Maciej, et al.
Published: (2024)

Chain-of-Thought Unfaithfulness as Disguised Accuracy
by: Bentham, Oliver, et al.
Published: (2024)

Convolutional Monge Mapping between EEG Datasets to Support Independent Component Labeling
by: Meek, Austin, et al.
Published: (2025)

Enhancing Generalization in Chain of Thought Reasoning for Smaller Models
by: Yin, Maxwell J., et al.
Published: (2025)

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026)

Do Models Know Why They Changed Their Mind? Interpretability and Faithfulness of Chain-of-Thought Under Knowledge Conflict
by: Venkata, Pruthvinath Jeripity
Published: (2026)

Compositional Reasoning with Transformers, RNNs, and Chain of Thought
by: Yehudai, Gilad, et al.
Published: (2025)

Scalable Chain of Thoughts via Elastic Reasoning
by: Xu, Yuhui, et al.
Published: (2025)

Long Chain-of-Thought Reasoning Across Languages
by: Barua, Josh, et al.
Published: (2025)

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
by: Matton, Katie, et al.
Published: (2025)

Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
by: Zhang, Zhen-Yu, et al.
Published: (2024)

Value-Guided Search for Efficient Chain-of-Thought Reasoning
by: Wang, Kaiwen, et al.
Published: (2025)

Latent Chain-of-Thought? Decoding the Depth-Recurrent Transformer
by: Lu, Wenquan, et al.
Published: (2025)

Understanding Chain-of-Thought in LLMs through Information Theory
by: Ton, Jean-Francois, et al.
Published: (2024)

Watch Your Steps: Observable and Modular Chains of Thought
by: Cohen, Cassandra A., et al.
Published: (2024)

Iteration Head: A Mechanistic Study of Chain-of-Thought
by: Cabannes, Vivien, et al.
Published: (2024)

Understanding Reasoning in Chain-of-Thought from the Hopfieldian View
by: Hu, Lijie, et al.
Published: (2024)

Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning
by: Li, Xintong, et al.
Published: (2026)

Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2026)

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
by: Ren, Richard, et al.
Published: (2024)

When More is Less: Understanding Chain-of-Thought Length in LLMs
by: Wu, Yuyang, et al.
Published: (2025)

Learning to Rank Chain-of-Thought: Using a Small Model
by: Jiang, Eric Hanchen, et al.
Published: (2025)

Verifying Chain-of-Thought Reasoning via Its Computational Graph
by: Zhao, Zheng, et al.
Published: (2025)

Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
by: Boppana, Siddharth, et al.
Published: (2026)

When Chain-of-Thought Fails, the Solution Hides in the Hidden States
by: Mehrafarin, Houman, et al.
Published: (2026)

ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback
by: Byun, Ju-Seung, et al.
Published: (2024)

Reinforcement Learning for Chain of Thought Compression with One-Domain-to-All Generalization
by: Li, Hanyu, et al.
Published: (2025)