Cover Image

On Measuring Faithfulness or Self-consistency of Natural Language Explanations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Parcalabescu, Letitia, Frank, Anette
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence Machine Learning 68Txx I.2.7; I.2.10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
by: Parcalabescu, Letitia, et al.
Published: (2024)

MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks
by: Parcalabescu, Letitia, et al.
Published: (2022)

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena
by: Parcalabescu, Letitia, et al.
Published: (2021)

Bounding Hallucinations: Information-Theoretic Guarantees for RAG Systems via Merlin-Arthur Protocols
by: Deiseroth, Björn, et al.
Published: (2025)

AI-Driven Innovations in Modern Cloud Computing
by: Kumar, Animesh
Published: (2024)

Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML)
by: Kumar, Animesh
Published: (2024)

TensLoRA: Tensor Alternatives for Low-Rank Adaptation
by: Marmoret, Axel, et al.
Published: (2025)

Context-Dependent Affordance Computation in Vision-Language Models
by: Farzulla, Murad
Published: (2026)

A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models
by: Balasubramanian, Sriram, et al.
Published: (2025)

Waking Up Blind: Cold-Start Optimization of Supervision-Free Agentic Trajectories for Grounded Visual Perception
by: Bajpai, Ashutosh, et al.
Published: (2026)

TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax
by: Nauen, Tobias Christian, et al.
Published: (2024)

K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology
by: Kim, Soyeon, et al.
Published: (2026)

AtManRL: Towards Faithful Reasoning via Differentiable Attention Saliency
by: Höth, Max Henning, et al.
Published: (2026)

TowerVision: Understanding and Improving Multilinguality in Vision-Language Models
by: Viveiros, André G., et al.
Published: (2025)

Evaluating Visual Mathematics in Multimodal LLMs: A Multilingual Benchmark Based on the Kangaroo Tests
by: Sáez, Arnau Igualde, et al.
Published: (2025)

PhysNote: Self-Knowledge Notes for Evolvable Physical Reasoning in Vision-Language Model
by: Zhang, Sinin, et al.
Published: (2026)

ReaderLM-v2: Small Language Model for HTML to Markdown and JSON
by: Wang, Feng, et al.
Published: (2025)

Unpacking Hateful Memes: Presupposed Context and False Claims
by: Cai, Weibin, et al.
Published: (2025)

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
by: He, Hui, et al.
Published: (2024)

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness
by: Jagatheesaperumal, Senthil Kumar, et al.
Published: (2024)

Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible
by: Zhao, Lepeng, et al.
Published: (2026)

From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text
by: Le, Van-Truong
Published: (2026)

Universal Adversarial Attack on Aligned Multimodal LLMs
by: Rahmatullaev, Temurbek, et al.
Published: (2025)

Causally Grounded Mechanistic Interpretability for LLMs with Faithful Natural-Language Explanations
by: Mahale, Ajay Pravin
Published: (2026)

Toward Storage-Aware Learning with Compressed Data An Empirical Exploratory Study on JPEG
by: Lee, Kichang, et al.
Published: (2025)

Memory-Efficient Differentially Private Training with Gradient Random Projection
by: Mulrooney, Alex, et al.
Published: (2025)

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations
by: Dumpala, Sri Harsha, et al.
Published: (2024)

Toward a Dialogue System Using a Large Language Model to Recognize User Emotions with a Camera
by: Tanioka, Hiroki, et al.
Published: (2024)

Evaluating Voice Command Pipelines for Drone Control: From STT and LLM to Direct Classification and Siamese Networks
by: Simões, Lucca Emmanuel Pineli, et al.
Published: (2024)

Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models
by: Kedia, Akhil, et al.
Published: (2024)

IRONIC: Coherence-Aware Reasoning Chains for Multi-Modal Sarcasm Detection
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2025)

RONA: Pragmatically Diverse Image Captioning with Coherence Relations
by: Ramakrishnan, Aashish Anantha, et al.
Published: (2025)

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images
by: Ji, Yikun, et al.
Published: (2025)

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models
by: Fu, Tianyu, et al.
Published: (2024)

Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting
by: He, Hui, et al.
Published: (2022)

Autonomous Navigation and Collision Avoidance for Mobile Robots: Classification and Review
by: de Carvalho, Marcus Vinicius Leal, et al.
Published: (2024)

Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling
by: Ouyang, Rongxin, et al.
Published: (2024)

MORQA: Benchmarking Evaluation Metrics for Medical Open-Ended Question Answering
by: Yim, Wen-wai, et al.
Published: (2025)

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
by: Agia, Christopher, et al.
Published: (2024)

Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review
by: Ennadir, Sofiane, et al.
Published: (2024)