{"total":34,"rows":[{"id":"2112.11446","title":"Scaling Language Models: Methods, Analysis & Insights from Training Gopher","created":"2021-12-08","cited_by_count":1202,"area":null},{"id":"2108.00941","title":"A Survey of Human-in-the-loop for Machine Learning","created":"2021-08-02","cited_by_count":215,"area":null},{"id":"2302.08500","title":"Auditing large language models: a three-layered approach","created":"2023-02-16","cited_by_count":137,"area":null},{"id":"2105.02732","title":"What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus","created":"2021-05-06","cited_by_count":80,"area":null},{"id":"2104.15135","title":"Explanation-Based Human Debugging of NLP Models: A Survey","created":"2021-04-30","cited_by_count":53,"area":null},{"id":"2405.01976","title":"Conformal Prediction for Natural Language Processing: A Survey","created":"2024-05-03","cited_by_count":53,"area":null},{"id":"2210.10109","title":"A Survey of Active Learning for Natural Language Processing","created":"2022-10-18","cited_by_count":40,"area":null},{"id":"2305.13246","title":"Interactive Natural Language Processing","created":"2023-05-22","cited_by_count":31,"area":null},{"id":"2103.14625","title":"Dodrio: Exploring Transformer Models with Interactive Visualization","created":"2021-03-26","cited_by_count":28,"area":null},{"id":"2110.03212","title":"Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates","created":"2021-10-07","cited_by_count":27,"area":null},{"id":"2204.05426","title":"ProtoTEx: Explaining Model Decisions with Prototype Tensors","created":"2022-04-11","cited_by_count":21,"area":null},{"id":"2305.05094","title":"Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections","created":"2023-05-08","cited_by_count":15,"area":null},{"id":"2207.04447","title":"Human-Centric Research for NLP: Towards a Definition and Guiding Questions","created":"2022-07-10","cited_by_count":9,"area":null},{"id":"2308.07213","title":"Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI","created":"2023-08-14","cited_by_count":9,"area":null},{"id":"2303.03124","title":"IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models","created":"2023-03-06","cited_by_count":8,"area":null},{"id":"2502.13780","title":"Translation in the Hands of Many:Centering Lay Users in Machine Translation Interactions","created":"2025-02-19","cited_by_count":8,"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":"2111.01340","title":"Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks","created":"2021-11-02","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":"2501.05714","title":"How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond","created":"2025-01-10","cited_by_count":4,"area":null},{"id":"2211.15363","title":"On the Security Vulnerabilities of Text-to-SQL Models","created":"2022-11-28","cited_by_count":3,"area":null},{"id":"2303.10974","title":"Translate your gibberish: black-box adversarial attack on machine translation systems","created":"2023-03-20","cited_by_count":2,"area":null},{"id":"2405.09439","title":"Facilitating Opinion Diversity through Hybrid NLP Approaches","created":"2024-05-15","cited_by_count":2,"area":null},{"id":"2408.13464","title":"Uncovering Biases with Reflective Large Language Models","created":"2024-08-24","cited_by_count":2,"area":null},{"id":"2411.04637","title":"Hands-On Tutorial: Labeling with LLM and Human-in-the-Loop","created":"2024-11-07","cited_by_count":2,"area":null},{"id":"2412.12478","title":"Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script","created":"2024-12-17","cited_by_count":2,"area":null},{"id":"2303.01410","title":"NLP Workbench: Efficient and Extensible Integration of State-of-the-art Text Mining Tools","created":"2023-03-02","cited_by_count":1,"area":null},{"id":"2306.03500","title":"Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory","created":"2023-06-06","cited_by_count":1,"area":null},{"id":"2406.19054","title":"A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)","created":"2024-06-27","cited_by_count":1,"area":null},{"id":"2110.07337","title":"Topic-time Heatmaps for Human-in-the-loop Topic Detection and Tracking","created":"2021-10-12","cited_by_count":0,"area":null},{"id":"2301.09908","title":"Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop","created":"2023-01-24","cited_by_count":0,"area":null},{"id":"2403.19339","title":"An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations","created":"2024-03-28","cited_by_count":0,"area":null},{"id":"2412.10939","title":"Human-Centric NLP or AI-Centric Illusion?: A Critical Investigation","created":"2024-12-14","cited_by_count":0,"area":null},{"id":"2504.00860","title":"Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals","created":"2025-04-01","cited_by_count":0,"area":null}],"next_cursor":null}