{"total":37,"rows":[{"id":"2309.00770","title":"Bias and Fairness in Large Language Models: A Survey","created":"2023-09-02","cited_by_count":639,"area":null},{"id":"2211.11695","title":"Disentangled Representation Learning","created":"2022-11-21","cited_by_count":112,"area":null},{"id":"2208.11646","title":"Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation","created":"2022-08-24","cited_by_count":75,"area":null},{"id":"2108.12463","title":"Automatic Text Evaluation through the Lens of Wasserstein Barycenters","created":"2021-08-27","cited_by_count":38,"area":null},{"id":"2112.01589","title":"InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation","created":"2021-12-02","cited_by_count":33,"area":null},{"id":"2302.06321","title":"Parameter-efficient Modularised Bias Mitigation via AdapterFusion","created":"2023-02-13","cited_by_count":25,"area":null},{"id":"2212.09171","title":"Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data","created":"2022-12-18","cited_by_count":21,"area":null},{"id":"2202.06618","title":"A Differential Entropy Estimator for Training Neural Networks","created":"2022-02-14","cited_by_count":20,"area":null},{"id":"2109.07169","title":"Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders","created":"2021-09-15","cited_by_count":19,"area":null},{"id":"2205.15171","title":"Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks","created":"2022-05-30","cited_by_count":18,"area":null},{"id":"2109.00922","title":"Improving Multimodal fusion via Mutual Dependency Maximisation","created":"2021-08-31","cited_by_count":15,"area":null},{"id":"2302.09852","title":"Unsupervised Layer-wise Score Aggregation for Textual OOD Detection","created":"2023-02-20","cited_by_count":15,"area":null},{"id":"2205.03589","title":"Learning Disentangled Textual Representations via Statistical Measures of Similarity","created":"2022-05-07","cited_by_count":14,"area":null},{"id":"2305.10284","title":"Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks","created":"2023-05-17","cited_by_count":14,"area":null},{"id":"2204.00511","title":"Learning Disentangled Representations of Negation and Uncertainty","created":"2022-04-01","cited_by_count":13,"area":null},{"id":"2110.03389","title":"Beam Search with Bidirectional Strategies for Neural Response Generation","created":"2021-10-07","cited_by_count":12,"area":null},{"id":"2210.02898","title":"Learning Disentangled Representations for Natural Language Definitions","created":"2022-09-22","cited_by_count":12,"area":null},{"id":"2205.11485","title":"Conditional Supervised Contrastive Learning for Fair Text Classification","created":"2022-05-23","cited_by_count":11,"area":null},{"id":"2312.01509","title":"Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies","created":"2023-12-03","cited_by_count":11,"area":null},{"id":"2505.05034","title":"Dequantified Diffusion-Schr{\\\"o}dinger Bridge for Density Ratio Estimation","created":"2025-05-08","cited_by_count":11,"area":null},{"id":"2108.12465","title":"Code-switched inspired losses for generic spoken dialog representations","created":"2021-08-27","cited_by_count":10,"area":null},{"id":"2208.14585","title":"The Glass Ceiling of Automatic Evaluation in Natural Language Generation","created":"2022-08-31","cited_by_count":10,"area":null},{"id":"2304.02328","title":"Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck","created":"2023-04-05","cited_by_count":9,"area":null},{"id":"2306.03630","title":"Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection","created":"2023-06-06","cited_by_count":9,"area":null},{"id":"2401.16457","title":"Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters","created":"2024-01-29","cited_by_count":8,"area":null},{"id":"2310.13998","title":"Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models","created":"2023-10-21","cited_by_count":4,"area":null},{"id":"2505.13531","title":"AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference","created":"2025-05-18","cited_by_count":4,"area":null},{"id":"2211.13527","title":"Beyond Mahalanobis-Based Scores for Textual OOD Detection","created":"2022-11-24","cited_by_count":3,"area":null},{"id":"2310.14001","title":"Toward Stronger Textual Attack Detectors","created":"2023-10-21","cited_by_count":3,"area":null},{"id":"2407.11203","title":"The Life Cycle of Large Language Models: A Review of Biases in Education","created":"2024-06-03","cited_by_count":3,"area":null},{"id":"2409.19541","title":"Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization","created":"2024-09-29","cited_by_count":3,"area":null},{"id":"2506.05610","title":"Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking","created":"2025-06-05","cited_by_count":3,"area":null},{"id":"2302.11269","title":"Learning from Multiple Sources for Data-to-Text and Text-to-Data","created":"2023-02-22","cited_by_count":1,"area":null},{"id":"2310.13990","title":"A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification","created":"2023-10-21","cited_by_count":1,"area":null},{"id":"2202.03799","title":"What are the best systems? New perspectives on NLP Benchmarking","created":"2022-02-08","cited_by_count":0,"area":null},{"id":"2310.05115","title":"Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection","created":"2023-10-08","cited_by_count":0,"area":null},{"id":"2402.07519","title":"MAFIA: Multi-Adapter Fused Inclusive LanguAge Models","created":"2024-02-12","cited_by_count":0,"area":null}],"next_cursor":null}