Challenges and Opportunities in Text Generation Explainability
Fuente:
arXiv
Saved in:
| Main Authors: | Amara, Kenza, Sevastjanova, Rita, El-Assady, Mennatallah |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SyntaxShap: Syntax-aware Explainability Method for Text Generation
by: Amara, Kenza, et al.
Published: (2024)
by: Amara, Kenza, et al.
Published: (2024)
Concept-Level Explainability for Auditing & Steering LLM Responses
by: Amara, Kenza, et al.
Published: (2025)
by: Amara, Kenza, et al.
Published: (2025)
PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying
by: Chan, Robin Shing Moon, et al.
Published: (2026)
by: Chan, Robin Shing Moon, et al.
Published: (2026)
TopoAlign: Topology-Aware Visual Representation Alignment
by: Yan, Xinyuan, et al.
Published: (2026)
by: Yan, Xinyuan, et al.
Published: (2026)
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections
by: Sevastjanova, Rita, et al.
Published: (2025)
by: Sevastjanova, Rita, et al.
Published: (2025)
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities
by: Amara, Kenza, et al.
Published: (2024)
by: Amara, Kenza, et al.
Published: (2024)
Deconstructing Human-AI Collaboration: Agency, Interaction, and Adaptation
by: Holter, Steffen, et al.
Published: (2024)
by: Holter, Steffen, et al.
Published: (2024)
LayerFlow: Layer‐wise Exploration of LLM Embeddings using Uncertainty‐aware Interlinked Projections
by: Rita Sevastjanova, et al.
Published: (2025)
by: Rita Sevastjanova, et al.
Published: (2025)
generAItor: Tree-in-the-Loop Text Generation for Language Model Explainability and Adaptation
by: Spinner, Thilo, et al.
Published: (2024)
by: Spinner, Thilo, et al.
Published: (2024)
Cross-Cultural Simulation of Citizen Emotional Responses to Bureaucratic Red Tape Using LLM Agents
by: Ni, Wanchun, et al.
Published: (2026)
by: Ni, Wanchun, et al.
Published: (2026)
Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Explanation and Verification Agents
by: Yan, Xinyuan, et al.
Published: (2025)
by: Yan, Xinyuan, et al.
Published: (2025)
Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis
by: Cheng, Furui, et al.
Published: (2024)
by: Cheng, Furui, et al.
Published: (2024)
Dia-Lingle: A Gamified Interface for Dialectal Data Collection
by: Sun, Jiugeng, et al.
Published: (2025)
by: Sun, Jiugeng, et al.
Published: (2025)
DxHF: Providing High-Quality Human Feedback for LLM Alignment via Interactive Decomposition
by: Shi, Danqing, et al.
Published: (2025)
by: Shi, Danqing, et al.
Published: (2025)
Explainability-Based Token Replacement on LLM-Generated Text
by: Mohammadi, Hadi, et al.
Published: (2025)
by: Mohammadi, Hadi, et al.
Published: (2025)
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
by: Li, Dawei, et al.
Published: (2024)
by: Li, Dawei, et al.
Published: (2024)
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks
by: Jiang, Dongfu, et al.
Published: (2023)
by: Jiang, Dongfu, et al.
Published: (2023)
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
by: Ji, Jiazhou, et al.
Published: (2024)
by: Ji, Jiazhou, et al.
Published: (2024)
StyleDecipher: Robust and Explainable Detection of LLM-Generated Texts with Stylistic Analysis
by: Li, Siyuan, et al.
Published: (2025)
by: Li, Siyuan, et al.
Published: (2025)
iToT: An Interactive System for Customized Tree-of-Thought Generation
by: Boyle, Alan, et al.
Published: (2024)
by: Boyle, Alan, et al.
Published: (2024)
Reward Learning from Multiple Feedback Types
by: Metz, Yannick, et al.
Published: (2025)
by: Metz, Yannick, et al.
Published: (2025)
Multilingual and Explainable Text Detoxification with Parallel Corpora
by: Dementieva, Daryna, et al.
Published: (2024)
by: Dementieva, Daryna, et al.
Published: (2024)
Challenges and Opportunities for Visual Analytics in Jurisprudence
by: Fürst, Daniel, et al.
Published: (2024)
by: Fürst, Daniel, et al.
Published: (2024)
Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy
by: Pudasaini, Shushanta, et al.
Published: (2026)
by: Pudasaini, Shushanta, et al.
Published: (2026)
Continual Learning in Large Language Models: Methods, Challenges, and Opportunities
by: Chen, Hongyang, et al.
Published: (2026)
by: Chen, Hongyang, et al.
Published: (2026)
Extracting Norms from Contracts Via ChatGPT: Opportunities and Challenges
by: Haque, Amanul, et al.
Published: (2024)
by: Haque, Amanul, et al.
Published: (2024)
Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities
by: Liu, Changchun, et al.
Published: (2025)
by: Liu, Changchun, et al.
Published: (2025)
VACP: Visual Analytics Context Protocol
by: Stähle, Tobias, et al.
Published: (2026)
by: Stähle, Tobias, et al.
Published: (2026)
A Grey-box Text Attack Framework using Explainable AI
by: Chiramal, Esther, et al.
Published: (2025)
by: Chiramal, Esther, et al.
Published: (2025)
M-DAIGT: A Shared Task on Multi-Domain Detection of AI-Generated Text
by: Lamsiyah, Salima, et al.
Published: (2025)
by: Lamsiyah, Salima, et al.
Published: (2025)
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges
by: Pereira, Jayr, et al.
Published: (2024)
by: Pereira, Jayr, et al.
Published: (2024)
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
by: Zhong, Tianyang, et al.
Published: (2024)
by: Zhong, Tianyang, et al.
Published: (2024)
Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities
by: Mandal, Aishik, et al.
Published: (2025)
by: Mandal, Aishik, et al.
Published: (2025)
From No to Know: Taxonomy, Challenges, and Opportunities for Negation Understanding in Multimodal Foundation Models
by: Vatsa, Mayank, et al.
Published: (2025)
by: Vatsa, Mayank, et al.
Published: (2025)
Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
by: Samuel, Vinay, et al.
Published: (2023)
by: Samuel, Vinay, et al.
Published: (2023)
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
by: Najjar, Ayat A., et al.
Published: (2025)
by: Najjar, Ayat A., et al.
Published: (2025)
ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation
by: Salemi, Alireza, et al.
Published: (2025)
by: Salemi, Alireza, et al.
Published: (2025)
PowerGraph: A power grid benchmark dataset for graph neural networks
by: Varbella, Anna, et al.
Published: (2024)
by: Varbella, Anna, et al.
Published: (2024)
Process Supervision for Chain-of-Thought Reasoning via Monte Carlo Net Information Gain
by: Royer, Corentin, et al.
Published: (2026)
by: Royer, Corentin, et al.
Published: (2026)
Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence
by: Queloz, Matthieu
Published: (2025)
by: Queloz, Matthieu
Published: (2025)
Similar Items
-
SyntaxShap: Syntax-aware Explainability Method for Text Generation
by: Amara, Kenza, et al.
Published: (2024) -
Concept-Level Explainability for Auditing & Steering LLM Responses
by: Amara, Kenza, et al.
Published: (2025) -
PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying
by: Chan, Robin Shing Moon, et al.
Published: (2026) -
TopoAlign: Topology-Aware Visual Representation Alignment
by: Yan, Xinyuan, et al.
Published: (2026) -
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections
by: Sevastjanova, Rita, et al.
Published: (2025)