{"total":51,"rows":[{"id":"2104.08661","title":"Explaining Answers with Entailment Trees","created":"2021-04-17","cited_by_count":152,"area":null},{"id":"2102.12060","title":"Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing","created":"2021-02-24","cited_by_count":126,"area":null},{"id":"2111.08284","title":"Few-Shot Self-Rationalization with Natural Language Prompts","created":"2021-11-16","cited_by_count":83,"area":null},{"id":"2202.08816","title":"Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning","created":"2022-02-17","cited_by_count":79,"area":null},{"id":"2102.02201","title":"When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data","created":"2021-02-03","cited_by_count":75,"area":null},{"id":"2306.11816","title":"Learning to Generate Better Than Your LLM","created":"2023-06-20","cited_by_count":49,"area":null},{"id":"2111.08366","title":"Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity","created":"2021-11-16","cited_by_count":35,"area":null},{"id":"2211.03318","title":"Fixing Model Bugs with Natural Language Patches","created":"2022-11-07","cited_by_count":33,"area":null},{"id":"2103.11072","title":"Local Interpretations for Explainable Natural Language Processing: A Survey","created":"2021-03-20","cited_by_count":31,"area":null},{"id":"2303.10475","title":"Large Language Model Instruction Following: A Survey of Progresses and Challenges","created":"2023-03-18","cited_by_count":31,"area":null},{"id":"2106.11988","title":"On the Diversity and Limits of Human Explanations","created":"2021-06-22","cited_by_count":30,"area":null},{"id":"2103.10415","title":"Refining Language Models with Compositional Explanations","created":"2021-03-18","cited_by_count":27,"area":null},{"id":"2112.00071","title":"What to Learn, and How: Toward Effective Learning from Rationales","created":"2021-11-30","cited_by_count":25,"area":null},{"id":"2109.02102","title":"Teaching Autoregressive Language Models Complex Tasks By Demonstration","created":"2021-09-05","cited_by_count":15,"area":null},{"id":"2204.08892","title":"A survey on improving NLP models with human explanations","created":"2022-04-19","cited_by_count":15,"area":null},{"id":"2203.09735","title":"PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning","created":"2022-03-18","cited_by_count":14,"area":null},{"id":"2209.12613","title":"Factual and Informative Review Generation for Explainable Recommendation","created":"2022-09-12","cited_by_count":14,"area":null},{"id":"2109.13770","title":"Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health","created":"2021-09-28","cited_by_count":13,"area":null},{"id":"2210.07222","title":"Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods","created":"2022-10-13","cited_by_count":13,"area":null},{"id":"2306.08042","title":"FLamE: Few-shot Learning from Natural Language Explanations","created":"2023-06-13","cited_by_count":10,"area":null},{"id":"2106.00162","title":"HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations","created":"2021-06-01","cited_by_count":9,"area":null},{"id":"2204.07142","title":"CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations","created":"2022-04-14","cited_by_count":9,"area":null},{"id":"2210.13575","title":"Does Self-Rationalization Improve Robustness to Spurious Correlations?","created":"2022-10-24","cited_by_count":9,"area":null},{"id":"2407.03545","title":"On Evaluating Explanation Utility for Human-AI Decision Making in NLP","created":"2024-07-03","cited_by_count":9,"area":null},{"id":"2211.00243","title":"Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection","created":"2022-11-01","cited_by_count":7,"area":null},{"id":"2412.11388","title":"INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models","created":"2024-12-16","cited_by_count":6,"area":null},{"id":"2204.11424","title":"It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers","created":"2022-04-25","cited_by_count":5,"area":null},{"id":"2310.06111","title":"BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions","created":"2023-10-09","cited_by_count":5,"area":null},{"id":"2106.12767","title":"TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration","created":"2021-06-24","cited_by_count":4,"area":null},{"id":"2206.13749","title":"Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction","created":"2022-06-28","cited_by_count":4,"area":null},{"id":"2302.10707","title":"Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios","created":"2023-02-21","cited_by_count":4,"area":null},{"id":"2303.17595","title":"Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts","created":"2023-03-30","cited_by_count":4,"area":null},{"id":"2109.05126","title":"D-REX: Dialogue Relation Extraction with Explanations","created":"2021-09-10","cited_by_count":3,"area":null},{"id":"2202.13100","title":"SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization","created":"2022-02-26","cited_by_count":2,"area":null},{"id":"2212.09104","title":"LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning","created":"2022-12-18","cited_by_count":2,"area":null},{"id":"2311.07538","title":"Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers","created":"2023-11-13","cited_by_count":2,"area":null},{"id":"2311.09558","title":"What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception","created":"2023-11-16","cited_by_count":2,"area":null},{"id":"2109.04726","title":"AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction","created":"2021-09-10","cited_by_count":1,"area":null},{"id":"2110.13577","title":"Open Rule Induction","created":"2021-10-26","cited_by_count":1,"area":null},{"id":"2204.06436","title":"Label Augmentation with Reinforced Labeling for Weak Supervision","created":"2022-04-13","cited_by_count":1,"area":null},{"id":"2402.06056","title":"ActiveDP: Bridging Active Learning and Data Programming","created":"2024-02-08","cited_by_count":1,"area":null},{"id":"2406.11010","title":"WeShap: Weak Supervision Source Evaluation with Shapley Values","created":"2024-06-16","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":"2505.23470","title":"Refining Labeling Functions with Limited Labeled Data","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2606.01617","title":"EvoPool: Evolutionary Programmatic Annotation for Label-Efficient Specialized Supervision","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2101.07138","title":"Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers","created":"2021-01-18","cited_by_count":0,"area":null},{"id":"2112.07356","title":"Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry","created":"2021-12-11","cited_by_count":0,"area":null},{"id":"2305.15520","title":"Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction","created":"2023-05-24","cited_by_count":0,"area":null},{"id":"2410.07094","title":"An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots","created":"2024-10-09","cited_by_count":0,"area":null},{"id":"2512.13102","title":"Socratic Students: Teaching Language Models to Learn by Asking Questions","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2608.26125","title":"Training-Time Explainability for Multilingual Hate Speech Detection: Aligning Model Reasoning with Human Rationales","created":"2026-06-22","cited_by_count":0,"area":null}],"next_cursor":null}