{"total":59,"rows":[{"id":"2210.11416","title":"Scaling Instruction-Finetuned Language Models","created":"2022-10-20","cited_by_count":3024,"area":null},{"id":"2102.01017","title":"Measuring and Improving Consistency in Pretrained Language Models","created":"2021-02-01","cited_by_count":364,"area":null},{"id":"2201.08164","title":"From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI","created":"2022-01-20","cited_by_count":302,"area":null},{"id":"2307.00184","title":"Personality Traits in Large Language Models","created":"2023-07-01","cited_by_count":169,"area":null},{"id":"2204.06031","title":"A Review on Language Models as Knowledge Bases","created":"2022-04-12","cited_by_count":157,"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":"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":"2305.18029","title":"Faithfulness Tests for Natural Language Explanations","created":"2023-05-29","cited_by_count":107,"area":null},{"id":"2310.15337","title":"Moral Foundations of Large Language Models","created":"2023-10-23","cited_by_count":85,"area":null},{"id":"2105.03761","title":"e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks","created":"2021-05-08","cited_by_count":84,"area":null},{"id":"2105.07878","title":"A Review on Explainability in Multimodal Deep Neural Nets","created":"2021-05-17","cited_by_count":46,"area":null},{"id":"2106.06823","title":"Prompting Contrastive Explanations for Commonsense Reasoning Tasks","created":"2021-06-12","cited_by_count":45,"area":null},{"id":"2303.06273","title":"Consistency Analysis of ChatGPT","created":"2023-03-11","cited_by_count":37,"area":null},{"id":"2204.11790","title":"Can Rationalization Improve Robustness?","created":"2022-04-25","cited_by_count":36,"area":null},{"id":"2405.01379","title":"Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving","created":"2024-05-02","cited_by_count":35,"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":"2106.13876","title":"Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations","created":"2021-06-25","cited_by_count":24,"area":null},{"id":"2305.08414","title":"What's the Meaning of Superhuman Performance in Today's NLU?","created":"2023-05-15","cited_by_count":23,"area":null},{"id":"2403.17368","title":"ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?","created":"2024-03-26","cited_by_count":17,"area":null},{"id":"2112.06204","title":"Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup","created":"2021-12-12","cited_by_count":16,"area":null},{"id":"2309.00384","title":"BatchPrompt: Accomplish more with less","created":"2023-09-01","cited_by_count":16,"area":null},{"id":"2310.13850","title":"Ecologically Valid Explanations for Label Variation in NLI","created":"2023-10-20","cited_by_count":16,"area":null},{"id":"2505.00268","title":"Consistency in Language Models: Current Landscape, Challenges, and Future Directions","created":"2025-05-01","cited_by_count":14,"area":null},{"id":"2108.06665","title":"Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models","created":"2021-08-15","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":"2405.05581","title":"One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations","created":"2024-05-09","cited_by_count":13,"area":null},{"id":"2103.00676","title":"Token-Modification Adversarial Attacks for Natural Language Processing: A Survey","created":"2021-03-01","cited_by_count":12,"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":"2205.12469","title":"Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI","created":"2022-05-25","cited_by_count":11,"area":null},{"id":"2210.02659","title":"Explainable Abuse Detection as Intent Classification and Slot Filling","created":"2022-10-06","cited_by_count":11,"area":null},{"id":"2309.08303","title":"Self-Consistent Narrative Prompts on Abductive Natural Language Inference","created":"2023-09-15","cited_by_count":11,"area":null},{"id":"2205.03815","title":"Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence","created":"2022-05-08","cited_by_count":10,"area":null},{"id":"2302.10914","title":"GLUECons: A Generic Benchmark for Learning Under Constraints","created":"2023-02-16","cited_by_count":9,"area":null},{"id":"2311.15562","title":"Fully Authentic Visual Question Answering Dataset from Online Communities","created":"2023-11-27","cited_by_count":9,"area":null},{"id":"2204.05879","title":"Generating Full Length Wikipedia Biographies: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies","created":"2022-04-12","cited_by_count":7,"area":null},{"id":"2110.02056","title":"Are Training Resources Insufficient? Predict First Then Explain!","created":"2021-08-29","cited_by_count":5,"area":null},{"id":"2304.12443","title":"Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation","created":"2023-04-24","cited_by_count":5,"area":null},{"id":"2402.10767","title":"Inference to the Best Explanation in Large Language Models","created":"2024-02-16","cited_by_count":5,"area":null},{"id":"2405.06687","title":"Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes","created":"2024-05-06","cited_by_count":5,"area":null},{"id":"2212.09603","title":"Explanation Regeneration via Information Bottleneck","created":"2022-12-19","cited_by_count":4,"area":null},{"id":"2306.02980","title":"KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations","created":"2023-06-05","cited_by_count":4,"area":null},{"id":"2310.09690","title":"Configuration Validation with Large Language Models","created":"2023-10-15","cited_by_count":4,"area":null},{"id":"2312.17591","title":"Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training","created":"2023-12-29","cited_by_count":4,"area":null},{"id":"2208.00316","title":"On Interactive Explanations as Non-Monotonic Reasoning","created":"2022-07-30","cited_by_count":3,"area":null},{"id":"2305.08524","title":"Measuring Consistency in Text-based Financial Forecasting Models","created":"2023-05-15","cited_by_count":3,"area":null},{"id":"2505.19299","title":"A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations","created":"2025-05-25","cited_by_count":3,"area":null},{"id":"2109.06508","title":"Tribrid: Stance Classification with Neural Inconsistency Detection","created":"2021-09-14","cited_by_count":2,"area":null},{"id":"2305.13235","title":"SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations","created":"2023-05-22","cited_by_count":2,"area":null},{"id":"2308.14115","title":"Situated Natural Language Explanations","created":"2023-08-27","cited_by_count":2,"area":null},{"id":"2402.12844","title":"ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation","created":"2024-02-20","cited_by_count":2,"area":null},{"id":"2409.17774","title":"Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations","created":"2024-09-26","cited_by_count":2,"area":null},{"id":"2502.09567","title":"MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing","created":"2025-02-13","cited_by_count":2,"area":null},{"id":"2504.01450","title":"CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models","created":"2025-04-02","cited_by_count":2,"area":null},{"id":"2104.01742","title":"Explainability-aided Domain Generalization for Image Classification","created":"2021-04-05","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":"2406.05035","title":"Scenarios and Approaches for Situated Natural Language Explanations","created":"2024-06-07","cited_by_count":1,"area":null},{"id":"2503.19476","title":"LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks","created":"2025-03-25","cited_by_count":1,"area":null},{"id":"2508.12430","title":"Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations","created":"2025-08-17","cited_by_count":1,"area":null}],"next_cursor":null}