{"total":27,"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":"2104.07644","title":"ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning","created":"2021-04-15","cited_by_count":58,"area":null},{"id":"2106.01024","title":"Why Machine Reading Comprehension Models Learn Shortcuts?","created":"2021-06-02","cited_by_count":40,"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":"2110.03192","title":"GNN is a Counter? Revisiting GNN for Question Answering","created":"2021-10-07","cited_by_count":21,"area":null},{"id":"2210.12152","title":"WikiWhy: Answering and Explaining Cause-and-Effect Questions","created":"2022-10-21","cited_by_count":21,"area":null},{"id":"2107.11879","title":"Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration","created":"2021-07-25","cited_by_count":17,"area":null},{"id":"2106.01354","title":"multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning","created":"2021-06-02","cited_by_count":15,"area":null},{"id":"2309.05217","title":"Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis","created":"2023-09-11","cited_by_count":15,"area":null},{"id":"2212.06295","title":"Despite \"super-human\" performance, current LLMs are unsuited for decisions about ethics and safety","created":"2022-12-13","cited_by_count":13,"area":null},{"id":"2105.01974","title":"Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards","created":"2021-05-05","cited_by_count":12,"area":null},{"id":"2104.06751","title":"Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability","created":"2021-04-14","cited_by_count":10,"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":"2305.08135","title":"Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering","created":"2023-05-14","cited_by_count":6,"area":null},{"id":"2109.03334","title":"On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings","created":"2021-09-07","cited_by_count":5,"area":null},{"id":"2109.04922","title":"Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers","created":"2021-09-10","cited_by_count":5,"area":null},{"id":"2305.07789","title":"HPE:Answering Complex Questions over Text by Hybrid Question Parsing and Execution","created":"2023-05-12","cited_by_count":5,"area":null},{"id":"2502.16757","title":"Entailment-Preserving First-order Logic Representations in Natural Language Entailment","created":"2025-02-24","cited_by_count":5,"area":null},{"id":"2212.03747","title":"Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review","created":"2022-12-07","cited_by_count":3,"area":null},{"id":"2403.06410","title":"A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation","created":"2024-03-11","cited_by_count":3,"area":null},{"id":"2201.02740","title":"Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts","created":"2021-12-17","cited_by_count":1,"area":null},{"id":"2205.01809","title":"Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI","created":"2022-05-03","cited_by_count":1,"area":null},{"id":"2309.08347","title":"Reward Engineering for Generating Semi-structured Explanation","created":"2023-09-15","cited_by_count":0,"area":null},{"id":"2311.02345","title":"Perturbation-based Active Learning for Question Answering","created":"2023-11-04","cited_by_count":0,"area":null},{"id":"2409.17757","title":"Integrating Hierarchical Semantic into Iterative Generation Model for Entailment Tree Explanation","created":"2024-09-26","cited_by_count":0,"area":null},{"id":"2601.16555","title":"Retrieve-Refine-Calibrate: A Framework for Complex Claim Fact-Checking","created":"2026-01-23","cited_by_count":0,"area":null}],"next_cursor":null}