Cover Image

NeuroFaith: Evaluating LLM Self-Explanation Faithfulness via Internal Representation Alignment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhan, Milan, Vittaut, Jean-Noel, Chesneau, Nicolas, Chandar, Sarath, Lesot, Marie-Jeanne
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
by: Bhan, Milan, et al.
Published: (2024)

Towards Achieving Concept Completeness for Textual Concept Bottleneck Models
by: Bhan, Milan, et al.
Published: (2025)

Mitigating Text Toxicity with Counterfactual Generation
by: Bhan, Milan, et al.
Published: (2024)

Faithfulness Measurable Masked Language Models
by: Madsen, Andreas, et al.
Published: (2023)

Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
by: Siegel, Noah Y., et al.
Published: (2025)

Faithfulness Serum: Mitigating the Faithfulness Gap in Textual Explanations of LLM Decisions via Attribution Guidance
by: Alon, Bar, et al.
Published: (2026)

Evaluating Human Alignment and Model Faithfulness of LLM Rationale
by: Fayyaz, Mohsen, et al.
Published: (2024)

Self-Critique and Refinement for Faithful Natural Language Explanations
by: Wang, Yingming, et al.
Published: (2025)

Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs
by: Fragkathoulas, Christos, et al.
Published: (2024)

FaithLM: Towards Faithful Explanations for Large Language Models
by: Chuang, Yu-Neng, et al.
Published: (2024)

The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
by: Siegel, Noah Y., et al.
Published: (2024)

Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
by: Quan, Xin, et al.
Published: (2025)

Investigating Training and Generalization in Faithful Self-Explanations of Large Language Models
by: Doi, Tomoki, et al.
Published: (2025)

Multilingual Self-Taught Faithfulness Evaluators
by: Alfano, Carlo, et al.
Published: (2025)

Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
by: Kim, Kyungha, et al.
Published: (2024)

Towards Faithful Model Explanation in NLP: A Survey
by: Lyu, Qing, et al.
Published: (2022)

Alignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and Study
by: Bouchouchi, Nour, et al.
Published: (2026)

Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations
by: Manna, Supriya, et al.
Published: (2024)

Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
by: Zhai, Weihe, et al.
Published: (2023)

Learning from Self Critique and Refinement for Faithful LLM Summarization
by: Hu, Ting-Yao, et al.
Published: (2025)

Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training
by: Li, Dongfang, et al.
Published: (2023)

FaithRL: Learning to Reason Faithfully through Step-Level Faithfulness Maximization
by: Gui, Runquan, et al.
Published: (2026)

Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
by: Gur-Arieh, Yoav, et al.
Published: (2026)

Faithful-Patchscopes: Understanding and Mitigating Model Bias in Hidden Representations Explanation of Large Language Models
by: Gong, Xilin, et al.
Published: (2026)

Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning
by: Jia, Jinghan, et al.
Published: (2026)

On Measuring Faithfulness or Self-consistency of Natural Language Explanations
by: Parcalabescu, Letitia, et al.
Published: (2023)

Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer
by: Shao, Shun, et al.
Published: (2026)

Lost in Interpretation: The Plausibility-Faithfulness Trade-off in Cross-Lingual Explanations
by: Banerjee, Somnath, et al.
Published: (2026)

FaithLens: Detecting and Explaining Faithfulness Hallucination
by: Si, Shuzheng, et al.
Published: (2025)

Are LLM Decisions Faithful to Verbal Confidence?
by: Wang, Jiawei, et al.
Published: (2026)

C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning
by: Mittal, Avni, et al.
Published: (2026)

Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models
by: Agarwal, Chirag, et al.
Published: (2024)

Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence
by: Mo, Kaijie, et al.
Published: (2026)

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models
by: Sovrano, Francesco, et al.
Published: (2026)

FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation
by: Kato, Akihiko, et al.
Published: (2024)

Faithful Model Evaluation for Model-Based Metrics
by: Goyal, Palash, et al.
Published: (2023)

Faithful-MR1: Faithful Multimodal Reasoning via Anchoring and Reinforcing Visual Attention
by: Tian, Changyuan, et al.
Published: (2026)

STORYSUMM: Evaluating Faithfulness in Story Summarization
by: Subbiah, Melanie, et al.
Published: (2024)

Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing
by: Yuan, Wenhao, et al.
Published: (2026)

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