{"total":69,"rows":[{"id":"2309.01029","title":"Explainability for Large Language Models: A Survey","created":"2023-09-02","cited_by_count":333,"area":null},{"id":"2108.04840","title":"Post-hoc Interpretability for Neural NLP: A Survey","created":"2021-08-10","cited_by_count":156,"area":null},{"id":"2209.11326","title":"Towards Faithful Model Explanation in NLP: A Survey","created":"2022-09-22","cited_by_count":130,"area":null},{"id":"2207.13243","title":"Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks","created":"2022-07-27","cited_by_count":129,"area":null},{"id":"2103.10689","title":"Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond","created":"2021-03-19","cited_by_count":118,"area":null},{"id":"2305.03210","title":"AttentionViz: A Global View of Transformer Attention","created":"2023-05-04","cited_by_count":50,"area":null},{"id":"2103.07601","title":"Approximating How Single Head Attention Learns","created":"2021-03-13","cited_by_count":38,"area":null},{"id":"2210.06929","title":"On the Explainability of Natural Language Processing Deep Models","created":"2022-10-13","cited_by_count":38,"area":null},{"id":"2305.13417","title":"VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers","created":"2023-05-22","cited_by_count":32,"area":null},{"id":"2303.13731","title":"How Does Attention Work in Vision Transformers? A Visual Analytics Attempt","created":"2023-03-24","cited_by_count":30,"area":null},{"id":"2212.11737","title":"The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations","created":"2022-12-22","cited_by_count":29,"area":null},{"id":"2208.01575","title":"ferret: a Framework for Benchmarking Explainers on Transformers","created":"2022-08-02","cited_by_count":26,"area":null},{"id":"2307.07712","title":"Visual Analytics For Machine Learning: A Data Perspective Survey","created":"2023-07-15","cited_by_count":25,"area":null},{"id":"2311.16842","title":"RELIC: Investigating Large Language Model Responses using Self-Consistency","created":"2023-11-28","cited_by_count":23,"area":"lr"},{"id":"2104.00926","title":"VisQA: X-raying Vision and Language Reasoning in Transformers","created":"2021-04-02","cited_by_count":19,"area":null},{"id":"2109.08705","title":"Relating Neural Text Degeneration to Exposure Bias","created":"2021-09-17","cited_by_count":19,"area":null},{"id":"2202.08946","title":"Symphony: Composing Interactive Interfaces for Machine Learning","created":"2022-02-18","cited_by_count":18,"area":null},{"id":"2206.09355","title":"A Unified Understanding of Deep NLP Models for Text Classification","created":"2022-06-19","cited_by_count":18,"area":null},{"id":"2111.01582","title":"LMdiff: A Visual Diff Tool to Compare Language Models","created":"2021-11-02","cited_by_count":17,"area":null},{"id":"2201.11239","title":"Diagnosing AI Explanation Methods with Folk Concepts of Behavior","created":"2022-01-27","cited_by_count":15,"area":null},{"id":"2208.08176","title":"Visual Comparison of Language Model Adaptation","created":"2022-08-17","cited_by_count":14,"area":null},{"id":"2104.07605","title":"SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization","created":"2021-04-15","cited_by_count":13,"area":null},{"id":"2206.04372","title":"Diagnosing Ensemble Few-Shot Classifiers","created":"2022-06-09","cited_by_count":13,"area":null},{"id":"2304.05967","title":"Angler: Helping Machine Translation Practitioners Prioritize Model Improvements","created":"2023-04-12","cited_by_count":12,"area":null},{"id":"2110.10185","title":"GenNI: Human-AI Collaboration for Data-Backed Text Generation","created":"2021-10-19","cited_by_count":11,"area":null},{"id":"2402.00262","title":"Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective","created":"2024-02-01","cited_by_count":11,"area":"agents"},{"id":"2506.05451","title":"Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety","created":"2025-06-05","cited_by_count":10,"area":"safety"},{"id":"2301.04528","title":"The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference","created":"2023-01-11","cited_by_count":9,"area":null},{"id":"2405.00708","title":"Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis","created":"2024-04-23","cited_by_count":8,"area":null},{"id":"2109.05629","title":"AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation","created":"2021-09-12","cited_by_count":7,"area":null},{"id":"2303.05392","title":"Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges","created":"2023-03-07","cited_by_count":7,"area":null},{"id":"2403.04758","title":"KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2407.12543","title":"Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships","created":"2024-07-17","cited_by_count":7,"area":null},{"id":"2208.04350","title":"A Visual Analytics System for Improving Attention-based Traffic Forecasting Models","created":"2022-08-08","cited_by_count":6,"area":null},{"id":"2310.11252","title":"Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges","created":"2023-10-17","cited_by_count":6,"area":null},{"id":"2403.04760","title":"iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries","created":"2024-03-07","cited_by_count":6,"area":null},{"id":"2404.07498","title":"Interactive Prompt Debugging with Sequence Salience","created":"2024-04-11","cited_by_count":6,"area":null},{"id":"2410.01088","title":"Exploring Empty Spaces: Human-in-the-Loop Data Augmentation","created":"2024-10-01","cited_by_count":6,"area":"safety"},{"id":"2307.08494","title":"Visual Explanations with Attributions and Counterfactuals on Time Series Classification","created":"2023-07-14","cited_by_count":5,"area":null},{"id":"2308.05219","title":"Decoding Layer Saliency in Language Transformers","created":"2023-08-09","cited_by_count":5,"area":null},{"id":"2309.11155","title":"ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement","created":"2023-09-20","cited_by_count":5,"area":null},{"id":"2403.07627","title":"generAItor: Tree-in-the-Loop Text Generation for Language Model Explainability and Adaptation","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2412.13435","title":"Lightweight Safety Classification Using Pruned Language Models","created":"2024-12-18","cited_by_count":5,"area":"safety"},{"id":"2106.06247","title":"FedNLP: An interpretable NLP System to Decode Federal Reserve Communications","created":"2021-06-11","cited_by_count":4,"area":null},{"id":"2311.01016","title":"Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning","created":"2023-11-02","cited_by_count":4,"area":null},{"id":"2508.12730","title":"Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods","created":"2025-08-18","cited_by_count":4,"area":"safety"},{"id":"2103.14973","title":"Explaining the Road Not Taken","created":"2021-03-27","cited_by_count":3,"area":null},{"id":"2302.09304","title":"Interpretability in Activation Space Analysis of Transformers: A Focused Survey","created":"2023-01-22","cited_by_count":3,"area":"mechinterp"},{"id":"2306.07995","title":"Semantic-Based Neural Network Repair","created":"2023-06-12","cited_by_count":3,"area":null},{"id":"2308.06290","title":"Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research","created":"2023-08-10","cited_by_count":3,"area":null},{"id":"2401.12666","title":"EL-VIT: Probing Vision Transformer with Interactive Visualization","created":"2024-01-23","cited_by_count":3,"area":null},{"id":"2508.12555","title":"Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement","created":"2025-08-18","cited_by_count":3,"area":"agents"},{"id":"2602.04752","title":"Decomposing Query-Key Feature Interactions Using Contrastive Covariances","created":"2026-02-04","cited_by_count":3,"area":null},{"id":"2312.04024","title":"k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis","created":"2023-12-07","cited_by_count":2,"area":null},{"id":"2407.03045","title":"JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational Datasets","created":"2024-07-03","cited_by_count":2,"area":"safety"},{"id":"2601.12991","title":"RAGExplorer: A Visual Analytics System for the Comparative Diagnosis of RAG Systems","created":"2026-01-19","cited_by_count":2,"area":"rag"},{"id":"2202.09868","title":"ExAIS: Executable AI Semantics","created":"2022-02-20","cited_by_count":1,"area":"lr"},{"id":"2402.17411","title":"Consistency Matters: Explore LLMs Consistency From a Black-Box Perspective","created":"2024-02-27","cited_by_count":1,"area":null},{"id":"2409.03164","title":"RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers","created":"2024-09-05","cited_by_count":1,"area":null},{"id":"2503.15176","title":"A Review on Large Language Models for Visual Analytics","created":"2025-03-19","cited_by_count":1,"area":null},{"id":"2509.20376","title":"ConceptViz: A Visual Analytics Approach for Exploring Concepts in Large Language Models","created":"2025-09-20","cited_by_count":1,"area":"mechinterp"},{"id":"2312.16659","title":"A Large Language Model-based Computational Approach to Improve Identity-Related Write-Ups","created":"2023-12-27","cited_by_count":0,"area":null},{"id":"2512.10234","title":"InFerActive: Interactive Tree-Based Exploration of LLM Sampling for Safety Evaluation","created":"2025-12-11","cited_by_count":0,"area":null},{"id":"2512.12201","title":"Epistemoverse: Toward an AI-Driven Knowledge Metaverse for Intellectual Heritage Preservation","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2604.21830","title":"GFlowState: Visualizing the Training of Generative Flow Networks Beyond the Reward","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2604.23356","title":"VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs","created":"2026-04-25","cited_by_count":0,"area":null},{"id":"2606.17646","title":"SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2608.03984","title":"string2string Studio: An Interactive, In-Browser Platform for String-to-String Algorithms","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2609.22097","title":"Token Signatures of Code: Comparing Coding Behaviors Across Large Language Models","created":"2026-08-12","cited_by_count":0,"area":null}],"next_cursor":null}