On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Tanneru, Sree Harsha, Ley, Dan, Agarwal, Chirag, Lakkaraju, Himabindu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models
by: Agarwal, Chirag, et al.
Published: (2024)
by: Agarwal, Chirag, et al.
Published: (2024)
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
by: Lobo, Elita, et al.
Published: (2024)
by: Lobo, Elita, et al.
Published: (2024)
In-Context Explainers: Harnessing LLMs for Explaining Black Box Models
by: Kroeger, Nicholas, et al.
Published: (2023)
by: Kroeger, Nicholas, et al.
Published: (2023)
Understanding the Effects of Iterative Prompting on Truthfulness
by: Krishna, Satyapriya, et al.
Published: (2024)
by: Krishna, Satyapriya, et al.
Published: (2024)
Manipulating Large Language Models to Increase Product Visibility
by: Kumar, Aounon, et al.
Published: (2024)
by: Kumar, Aounon, et al.
Published: (2024)
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
by: Liu, Yanchen, et al.
Published: (2023)
by: Liu, Yanchen, et al.
Published: (2023)
Towards Uncovering How Large Language Model Works: An Explainability Perspective
by: Zhao, Haiyan, et al.
Published: (2024)
by: Zhao, Haiyan, et al.
Published: (2024)
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
by: Han, Tessa, et al.
Published: (2024)
by: Han, Tessa, et al.
Published: (2024)
The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages
by: Onyame, Eric, et al.
Published: (2026)
by: Onyame, Eric, et al.
Published: (2026)
Certifying LLM Safety against Adversarial Prompting
by: Kumar, Aounon, et al.
Published: (2023)
by: Kumar, Aounon, et al.
Published: (2023)
Faithful Logical Reasoning via Symbolic Chain-of-Thought
by: Xu, Jundong, et al.
Published: (2024)
by: Xu, Jundong, et al.
Published: (2024)
Mechanistic Evidence for Faithfulness Decay in Chain-of-Thought Reasoning
by: Ye, Donald, et al.
Published: (2026)
by: Ye, Donald, et al.
Published: (2026)
Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps
by: Tutek, Martin, et al.
Published: (2025)
by: Tutek, Martin, et al.
Published: (2025)
Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?
by: Young, Richard J.
Published: (2026)
by: Young, Richard J.
Published: (2026)
Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning
by: Jia, Jinghan, et al.
Published: (2026)
by: Jia, Jinghan, et al.
Published: (2026)
SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models
by: Lv, Weijiang, et al.
Published: (2026)
by: Lv, Weijiang, et al.
Published: (2026)
Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
by: Paul, Debjit, et al.
Published: (2024)
by: Paul, Debjit, et al.
Published: (2024)
Evaluating GRPO and DPO for Faithful Chain-of-Thought Reasoning in LLMs
by: Mohammadi, Hadi, et al.
Published: (2025)
by: Mohammadi, Hadi, et al.
Published: (2025)
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
by: Arcuschin, Iván, et al.
Published: (2025)
by: Arcuschin, Iván, et al.
Published: (2025)
On the Trade-offs between Adversarial Robustness and Actionable Explanations
by: Krishna, Satyapriya, et al.
Published: (2023)
by: Krishna, Satyapriya, et al.
Published: (2023)
Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models
by: Xiong, Zidi, et al.
Published: (2025)
by: Xiong, Zidi, et al.
Published: (2025)
Quantifying Generalization Complexity for Large Language Models
by: Qi, Zhenting, et al.
Published: (2024)
by: Qi, Zhenting, et al.
Published: (2024)
A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages
by: Zhao, Raoyuan, et al.
Published: (2025)
by: Zhao, Raoyuan, et al.
Published: (2025)
Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
by: Son, Guijin, et al.
Published: (2025)
by: Son, Guijin, et al.
Published: (2025)
A Survey of Multilingual Reasoning in Language Models
by: Ghosh, Akash, et al.
Published: (2025)
by: Ghosh, Akash, et al.
Published: (2025)
More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
by: Li, Aaron J., et al.
Published: (2024)
by: Li, Aaron J., et al.
Published: (2024)
C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning
by: Mittal, Avni, et al.
Published: (2026)
by: Mittal, Avni, et al.
Published: (2026)
Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models
by: Yao, Yao, et al.
Published: (2023)
by: Yao, Yao, et al.
Published: (2023)
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
by: Zhang, Yufeng, et al.
Published: (2024)
by: Zhang, Yufeng, et al.
Published: (2024)
Chain-of-Thought Reasoning Improves Context-Aware Translation with Large Language Models
by: Ataee, Shabnam, et al.
Published: (2025)
by: Ataee, Shabnam, et al.
Published: (2025)
Effectiveness of Chain-of-Thought in Distilling Reasoning Capability from Large Language Models
by: Do, Cong-Thanh, et al.
Published: (2025)
by: Do, Cong-Thanh, et al.
Published: (2025)
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
by: He, Yancheng, et al.
Published: (2025)
by: He, Yancheng, et al.
Published: (2025)
Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models
by: Liu, Bingshuai, et al.
Published: (2023)
by: Liu, Bingshuai, et al.
Published: (2023)
Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models
by: Chen, Yihang, et al.
Published: (2025)
by: Chen, Yihang, et al.
Published: (2025)
Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
by: Gu, Qingqing, et al.
Published: (2025)
by: Gu, Qingqing, et al.
Published: (2025)
Counterfactual Simulation Training for Chain-of-Thought Faithfulness
by: Hase, Peter, et al.
Published: (2026)
by: Hase, Peter, et al.
Published: (2026)
Self-Improving Language Models with Bidirectional Evolutionary Search
by: Xu, Guowei, et al.
Published: (2026)
by: Xu, Guowei, et al.
Published: (2026)
A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models
by: Balasubramanian, Sriram, et al.
Published: (2025)
by: Balasubramanian, Sriram, et al.
Published: (2025)
Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models
by: Jin, Feihu, et al.
Published: (2024)
by: Jin, Feihu, et al.
Published: (2024)
Beyond Chains of Thought: Benchmarking Latent-Space Reasoning Abilities in Large Language Models
by: Hagendorff, Thilo, et al.
Published: (2025)
by: Hagendorff, Thilo, et al.
Published: (2025)
Similar Items
-
Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models
by: Agarwal, Chirag, et al.
Published: (2024) -
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
by: Lobo, Elita, et al.
Published: (2024) -
In-Context Explainers: Harnessing LLMs for Explaining Black Box Models
by: Kroeger, Nicholas, et al.
Published: (2023) -
Understanding the Effects of Iterative Prompting on Truthfulness
by: Krishna, Satyapriya, et al.
Published: (2024) -
Manipulating Large Language Models to Increase Product Visibility
by: Kumar, Aounon, et al.
Published: (2024)