Guardado en:
| Autores principales: | Kamp, Jonathan, Beinborn, Lisa, Fokkens, Antske |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2511.16353 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement
por: Kamp, Jonathan, et al.
Publicado: (2024)
por: Kamp, Jonathan, et al.
Publicado: (2024)
Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE
por: Dobrzeniecka, Alicja, et al.
Publicado: (2025)
por: Dobrzeniecka, Alicja, et al.
Publicado: (2025)
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
por: Troshin, Sergey, et al.
Publicado: (2025)
por: Troshin, Sergey, et al.
Publicado: (2025)
Balancing the Scales: Reinforcement Learning for Fair Classification
por: Eshuijs, Leon, et al.
Publicado: (2024)
por: Eshuijs, Leon, et al.
Publicado: (2024)
Once Upon a Time: Interactive Learning for Storytelling with Small Language Models
por: Martins, Jonas Mayer, et al.
Publicado: (2025)
por: Martins, Jonas Mayer, et al.
Publicado: (2025)
Evaluating Human Alignment and Model Faithfulness of LLM Rationale
por: Fayyaz, Mohsen, et al.
Publicado: (2024)
por: Fayyaz, Mohsen, et al.
Publicado: (2024)
Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution
por: Kamp, Jonathan, et al.
Publicado: (2025)
por: Kamp, Jonathan, et al.
Publicado: (2025)
Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection
por: Wang, Bing, et al.
Publicado: (2026)
por: Wang, Bing, et al.
Publicado: (2026)
Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study
por: Reuver, Myrthe, et al.
Publicado: (2024)
por: Reuver, Myrthe, et al.
Publicado: (2024)
DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?
por: Khurana, Urja, et al.
Publicado: (2024)
por: Khurana, Urja, et al.
Publicado: (2024)
On the Low-Rank Parametrization of Reward Models for Controlled Language Generation
por: Troshin, Sergey, et al.
Publicado: (2024)
por: Troshin, Sergey, et al.
Publicado: (2024)
Vocabulary shapes cross-lingual variation of word-order learnability in language models
por: Martins, Jonas Mayer, et al.
Publicado: (2026)
por: Martins, Jonas Mayer, et al.
Publicado: (2026)
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification
por: Eshuijs, Leon, et al.
Publicado: (2025)
por: Eshuijs, Leon, et al.
Publicado: (2025)
Fine-Grained Perspectives: Modeling Explanations with Annotator-Specific Rationales
por: Sarumi, Olufunke O., et al.
Publicado: (2026)
por: Sarumi, Olufunke O., et al.
Publicado: (2026)
Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs
por: Fragkathoulas, Christos, et al.
Publicado: (2024)
por: Fragkathoulas, Christos, et al.
Publicado: (2024)
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations
por: Manna, Supriya, et al.
Publicado: (2024)
por: Manna, Supriya, 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)
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
por: Resck, Lucas E., et al.
Publicado: (2024)
por: Resck, Lucas E., et al.
Publicado: (2024)
Faithfulness Serum: Mitigating the Faithfulness Gap in Textual Explanations of LLM Decisions via Attribution Guidance
por: Alon, Bar, et al.
Publicado: (2026)
por: Alon, Bar, et al.
Publicado: (2026)
Asking a Language Model for Diverse Responses
por: Troshin, Sergey, et al.
Publicado: (2025)
por: Troshin, Sergey, et al.
Publicado: (2025)
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
por: Khurana, Urja, et al.
Publicado: (2024)
por: Khurana, Urja, et al.
Publicado: (2024)
Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
por: Quan, Xin, et al.
Publicado: (2025)
por: Quan, Xin, et al.
Publicado: (2025)
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
por: Siegel, Noah Y., et al.
Publicado: (2024)
por: Siegel, Noah Y., et al.
Publicado: (2024)
Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models
por: Sovrano, Francesco, et al.
Publicado: (2026)
por: Sovrano, Francesco, et al.
Publicado: (2026)
CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation
por: Bandyopadhyay, Dibyanayan, et al.
Publicado: (2025)
por: Bandyopadhyay, Dibyanayan, et al.
Publicado: (2025)
Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
por: Zhao, Zhixue, et al.
Publicado: (2024)
por: Zhao, Zhixue, et al.
Publicado: (2024)
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
por: Wojciechowski, Adam, et al.
Publicado: (2024)
por: Wojciechowski, Adam, 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)
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction
por: Jiang, Han, et al.
Publicado: (2024)
por: Jiang, Han, et al.
Publicado: (2024)
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
por: Zhao, Lingjun, et al.
Publicado: (2025)
por: Zhao, Lingjun, et al.
Publicado: (2025)
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
por: Zhai, Weihe, et al.
Publicado: (2023)
por: Zhai, Weihe, et al.
Publicado: (2023)
Contrastive Token-level Explanations for Graph-based Rumour Detection
por: Chin, Daniel Wai Kit, et al.
Publicado: (2025)
por: Chin, Daniel Wai Kit, et al.
Publicado: (2025)
Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
por: Siegel, Noah Y., et al.
Publicado: (2025)
por: Siegel, Noah Y., et al.
Publicado: (2025)
Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
por: Jang, Joonwon, et al.
Publicado: (2024)
por: Jang, Joonwon, et al.
Publicado: (2024)
Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models
por: Yang, Chenxu, et al.
Publicado: (2025)
por: Yang, Chenxu, et al.
Publicado: (2025)
Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts
por: Rezaei, Mosab, et al.
Publicado: (2025)
por: Rezaei, Mosab, et al.
Publicado: (2025)
The Sufficiency-Conciseness Trade-off in LLM Self-Explanation from an Information Bottleneck Perspective
por: Zahedzadeh, Ali, et al.
Publicado: (2026)
por: Zahedzadeh, Ali, et al.
Publicado: (2026)
Reason2Decide: Rationale-Driven Multi-Task Learning
por: Hasan, H M Quamran, et al.
Publicado: (2025)
por: Hasan, H M Quamran, et al.
Publicado: (2025)
Reasoning Pattern Matters: Learning to Reason without Human Rationales
por: Pang, Chaoxu, et al.
Publicado: (2025)
por: Pang, Chaoxu, et al.
Publicado: (2025)
Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales
por: Yan, Jianzhi, et al.
Publicado: (2025)
por: Yan, Jianzhi, et al.
Publicado: (2025)
Ejemplares similares
-
The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement
por: Kamp, Jonathan, et al.
Publicado: (2024) -
Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE
por: Dobrzeniecka, Alicja, et al.
Publicado: (2025) -
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
por: Troshin, Sergey, et al.
Publicado: (2025) -
Balancing the Scales: Reinforcement Learning for Fair Classification
por: Eshuijs, Leon, et al.
Publicado: (2024) -
Once Upon a Time: Interactive Learning for Storytelling with Small Language Models
por: Martins, Jonas Mayer, et al.
Publicado: (2025)