{"total":22,"rows":[{"id":"2202.10054","title":"Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution","created":"2022-02-21","cited_by_count":739,"area":null},{"id":"2305.16938","title":"Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation","created":"2023-05-26","cited_by_count":136,"area":null},{"id":"2208.11857","title":"Shortcut Learning of Large Language Models in Natural Language Understanding","created":"2022-08-25","cited_by_count":85,"area":null},{"id":"2204.07447","title":"Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters","created":"2022-04-15","cited_by_count":44,"area":null},{"id":"2310.19182","title":"Fast Trainable Projection for Robust Fine-Tuning","created":"2023-10-29","cited_by_count":19,"area":null},{"id":"2205.05313","title":"Towards Unified Prompt Tuning for Few-shot Text Classification","created":"2022-05-11","cited_by_count":18,"area":null},{"id":"2302.05619","title":"Evaluating the Robustness of Discrete Prompts","created":"2023-02-11","cited_by_count":18,"area":null},{"id":"2210.16079","title":"Debiasing Masks: A New Framework for Shortcut Mitigation in NLU","created":"2022-10-28","cited_by_count":16,"area":null},{"id":"2210.10693","title":"Robustness of Demonstration-based Learning Under Limited Data Scenario","created":"2022-10-19","cited_by_count":11,"area":null},{"id":"2212.05421","title":"Feature-Level Debiased Natural Language Understanding","created":"2022-12-11","cited_by_count":10,"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":"2210.06456","title":"Are Sample-Efficient NLP Models More Robust?","created":"2022-10-12","cited_by_count":5,"area":null},{"id":"2305.18917","title":"Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases","created":"2023-05-30","cited_by_count":5,"area":null},{"id":"2204.08039","title":"Pathologies of Pre-trained Language Models in Few-shot Fine-tuning","created":"2022-04-17","cited_by_count":3,"area":null},{"id":"2211.03862","title":"Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference","created":"2022-11-07","cited_by_count":3,"area":null},{"id":"2208.10734","title":"Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation","created":"2022-08-23","cited_by_count":2,"area":null},{"id":"2305.14104","title":"Out-of-Distribution Generalization in Text Classification: Past, Present, and Future","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2305.14622","title":"EXnet: Efficient In-context Learning for Data-less Text classification","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2306.10964","title":"Multilingual Few-Shot Learning via Language Model Retrieval","created":"2023-06-19","cited_by_count":1,"area":null},{"id":"2310.16062","title":"Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning","created":"2023-10-24","cited_by_count":1,"area":null},{"id":"2401.01218","title":"Self-Supervised Position Debiasing for Large Language Models","created":"2024-01-02","cited_by_count":1,"area":null},{"id":"2603.15654","title":"Discovering the Hidden Role of Gini Index In Prompt-based Classification","created":"2026-03-07","cited_by_count":0,"area":null}],"next_cursor":null}