Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading
Fuente:
arXiv
Guardado en:
| Autores principales: | Crothers, Evan, Viktor, Herna, Japkowicz, Nathalie |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Don't be Tricked by Iterative Masking
por: Evan Crothers, et al.
Publicado: (2026)
por: Evan Crothers, et al.
Publicado: (2026)
Faithfulness Measurable Masked Language Models
por: Madsen, Andreas, et al.
Publicado: (2023)
por: Madsen, Andreas, et al.
Publicado: (2023)
Monitoring the evolution of antisemitic discourse on extremist social media using BERT
por: Mustafa, Raza Ul, et al.
Publicado: (2024)
por: Mustafa, Raza Ul, et al.
Publicado: (2024)
When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards
por: Wang, Li, et al.
Publicado: (2026)
por: Wang, Li, et al.
Publicado: (2026)
Learning Shortcuts: On the Misleading Promise of NLU in Language Models
por: Bihani, Geetanjali, et al.
Publicado: (2024)
por: Bihani, Geetanjali, et al.
Publicado: (2024)
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
por: Matton, Katie, et al.
Publicado: (2025)
por: Matton, Katie, et al.
Publicado: (2025)
Mapping Faithful Reasoning in Language Models
por: Li, Jiazheng, et al.
Publicado: (2025)
por: Li, Jiazheng, et al.
Publicado: (2025)
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
por: Rony, Md Main Uddin, et al.
Publicado: (2024)
por: Rony, Md Main Uddin, et al.
Publicado: (2024)
E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection
por: Mousavi, Ahmad, et al.
Publicado: (2025)
por: Mousavi, Ahmad, et al.
Publicado: (2025)
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
por: Liu, Gabrielle Kaili-May, et al.
Publicado: (2025)
por: Liu, Gabrielle Kaili-May, et al.
Publicado: (2025)
Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms
por: Hanna, Michael, et al.
Publicado: (2024)
por: Hanna, Michael, et al.
Publicado: (2024)
FaithLM: Towards Faithful Explanations for Large Language Models
por: Chuang, Yu-Neng, et al.
Publicado: (2024)
por: Chuang, Yu-Neng, et al.
Publicado: (2024)
Faithful and Robust Local Interpretability for Textual Predictions
por: Lopardo, Gianluigi, et al.
Publicado: (2023)
por: Lopardo, Gianluigi, et al.
Publicado: (2023)
Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead
por: Kang, Feiyang, et al.
Publicado: (2025)
por: Kang, Feiyang, et al.
Publicado: (2025)
RePro: Training Language Models to Faithfully Recycle the Web for Pretraining
por: Yu, Zichun, et al.
Publicado: (2025)
por: Yu, Zichun, et al.
Publicado: (2025)
Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine
por: Liu, Fenglin, et al.
Publicado: (2022)
por: Liu, Fenglin, et al.
Publicado: (2022)
Representation Deficiency in Masked Language Modeling
por: Meng, Yu, et al.
Publicado: (2023)
por: Meng, Yu, et al.
Publicado: (2023)
Transformer Circuit Faithfulness Metrics are not Robust
por: Miller, Joseph, et al.
Publicado: (2024)
por: Miller, Joseph, et al.
Publicado: (2024)
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
por: Schimanski, Tobias, et al.
Publicado: (2024)
por: Schimanski, Tobias, et al.
Publicado: (2024)
Contextual Text Denoising with Masked Language Models
por: Sun, Yifu, et al.
Publicado: (2019)
por: Sun, Yifu, et al.
Publicado: (2019)
Scaling Beyond Masked Diffusion Language Models
por: Sahoo, Subham Sekhar, et al.
Publicado: (2026)
por: Sahoo, Subham Sekhar, et al.
Publicado: (2026)
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
por: Ming, Yifei, et al.
Publicado: (2024)
por: Ming, Yifei, et al.
Publicado: (2024)
New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing
por: Madsen, Andreas
Publicado: (2024)
por: Madsen, Andreas
Publicado: (2024)
Measuring What LLMs Think They Do: SHAP Faithfulness and Deployability on Financial Tabular Classification
por: AlMarri, Saeed, et al.
Publicado: (2025)
por: AlMarri, Saeed, et al.
Publicado: (2025)
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
por: Huang, Yanwen, et al.
Publicado: (2025)
por: Huang, Yanwen, et al.
Publicado: (2025)
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media
por: Kikkisetti, Dhanush, et al.
Publicado: (2024)
por: Kikkisetti, Dhanush, et al.
Publicado: (2024)
Cycles of Thought: Measuring LLM Confidence through Stable Explanations
por: Becker, Evan, et al.
Publicado: (2024)
por: Becker, Evan, et al.
Publicado: (2024)
Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity
por: Meek, Austin, et al.
Publicado: (2025)
por: Meek, Austin, et al.
Publicado: (2025)
Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning
por: Jia, Jinghan, et al.
Publicado: (2026)
por: Jia, Jinghan, et al.
Publicado: (2026)
SoftHateBench: Evaluating Moderation Models Against Reasoning-Driven, Policy-Compliant Hostility
por: Su, Xuanyu, et al.
Publicado: (2026)
por: Su, Xuanyu, et al.
Publicado: (2026)
Towards Probabilistically-Sound Beam Search with Masked Language Models
por: Brooks, Creston, et al.
Publicado: (2024)
por: Brooks, Creston, et al.
Publicado: (2024)
Diffusion-State Policy Optimization for Masked Diffusion Language Models
por: Oba, Daisuke, et al.
Publicado: (2026)
por: Oba, Daisuke, et al.
Publicado: (2026)
DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models
por: Zhou, Xueyu, et al.
Publicado: (2026)
por: Zhou, Xueyu, et al.
Publicado: (2026)
Reconsidering Positional Supervision in Masked Diffusion Language Model Training
por: Ye, Mengyu, et al.
Publicado: (2026)
por: Ye, Mengyu, et al.
Publicado: (2026)
Self-Taught Self-Correction for Small Language Models
por: Moskvoretskii, Viktor, et al.
Publicado: (2025)
por: Moskvoretskii, Viktor, et al.
Publicado: (2025)
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
por: Wang, Tianchun, et al.
Publicado: (2024)
por: Wang, Tianchun, et al.
Publicado: (2024)
ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models
por: Anand, Nikhil, et al.
Publicado: (2026)
por: Anand, Nikhil, et al.
Publicado: (2026)
ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models
por: Zheng, Kangjie, et al.
Publicado: (2025)
por: Zheng, Kangjie, et al.
Publicado: (2025)
Masked Mixers for Language Generation and Retrieval
por: Badger, Benjamin L.
Publicado: (2024)
por: Badger, Benjamin L.
Publicado: (2024)
Soft-Masked Diffusion Language Models
por: Hersche, Michael, et al.
Publicado: (2025)
por: Hersche, Michael, et al.
Publicado: (2025)
Ejemplares similares
-
Don't be Tricked by Iterative Masking
por: Evan Crothers, et al.
Publicado: (2026) -
Faithfulness Measurable Masked Language Models
por: Madsen, Andreas, et al.
Publicado: (2023) -
Monitoring the evolution of antisemitic discourse on extremist social media using BERT
por: Mustafa, Raza Ul, et al.
Publicado: (2024) -
When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards
por: Wang, Li, et al.
Publicado: (2026) -
Learning Shortcuts: On the Misleading Promise of NLU in Language Models
por: Bihani, Geetanjali, et al.
Publicado: (2024)