{"total":63,"rows":[{"id":"2101.10382","title":"Curriculum Learning: A Survey","created":"2021-01-25","cited_by_count":259,"area":null},{"id":"2206.14579","title":"Competence-based Multimodal Curriculum Learning for Medical Report Generation","created":"2022-06-24","cited_by_count":76,"area":null},{"id":"2301.13105","title":"Generalization on the Unseen, Logic Reasoning and Degree Curriculum","created":"2023-01-30","cited_by_count":73,"area":null},{"id":"2104.06951","title":"Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey","created":"2021-04-14","cited_by_count":46,"area":null},{"id":"2105.12967","title":"Selective Knowledge Distillation for Neural Machine Translation","created":"2021-05-27","cited_by_count":43,"area":"distill"},{"id":"2108.06084","title":"The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models","created":"2021-08-13","cited_by_count":36,"area":null},{"id":"2102.03554","title":"Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning","created":"2021-02-06","cited_by_count":34,"area":null},{"id":"2112.02268","title":"Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding","created":"2021-12-04","cited_by_count":28,"area":null},{"id":"2106.08068","title":"An Analytical Theory of Curriculum Learning in Teacher-Student Networks","created":"2021-06-15","cited_by_count":27,"area":"distill"},{"id":"2312.00678","title":"The Efficiency Spectrum of Large Language Models: An Algorithmic Survey","created":"2023-12-01","cited_by_count":26,"area":null},{"id":"2306.16921","title":"Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs","created":"2023-06-29","cited_by_count":22,"area":null},{"id":"2106.06080","title":"Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent","created":"2021-06-10","cited_by_count":21,"area":null},{"id":"2311.08886","title":"CLIMB: Curriculum Learning for Infant-inspired Model Building","created":"2023-11-15","cited_by_count":20,"area":null},{"id":"2306.10014","title":"Coaching a Teachable Student","created":"2023-06-16","cited_by_count":19,"area":"distill"},{"id":"2110.06997","title":"Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits","created":"2021-10-13","cited_by_count":16,"area":null},{"id":"2405.20216","title":"Boost Your Human Image Generation Model via Direct Preference Optimization","created":"2024-05-30","cited_by_count":16,"area":"alignment"},{"id":"2207.09217","title":"Contextual Similarity is More Valuable than Character Similarity: An Empirical Study for Chinese Spell Checking","created":"2022-07-17","cited_by_count":14,"area":null},{"id":"2212.03597","title":"DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing","created":"2022-12-07","cited_by_count":13,"area":null},{"id":"2402.03099","title":"Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases","created":"2024-02-05","cited_by_count":13,"area":null},{"id":"2304.04248","title":"Curricular Object Manipulation in LiDAR-based Object Detection","created":"2023-04-09","cited_by_count":12,"area":null},{"id":"2203.13867","title":"Data Selection Curriculum for Neural Machine Translation","created":"2022-03-25","cited_by_count":11,"area":null},{"id":"2105.04475","title":"Self-Guided Curriculum Learning for Neural Machine Translation","created":"2021-05-10","cited_by_count":9,"area":null},{"id":"2205.09180","title":"Learning Rate Curriculum","created":"2022-05-18","cited_by_count":9,"area":null},{"id":"2310.15539","title":"SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code Translation","created":"2023-10-24","cited_by_count":9,"area":"moe"},{"id":"2109.04002","title":"Competence-based Curriculum Learning for Multilingual Machine Translation","created":"2021-09-09","cited_by_count":8,"area":null},{"id":"2212.07571","title":"Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation","created":"2022-12-15","cited_by_count":8,"area":"moe"},{"id":"2406.10942","title":"Effective Generative AI: The Human-Algorithm Centaur","created":"2024-06-16","cited_by_count":8,"area":null},{"id":"2306.03511","title":"Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation","created":"2023-06-06","cited_by_count":7,"area":null},{"id":"2308.01472","title":"Reverse Stable Diffusion: What prompt was used to generate this image?","created":"2023-08-02","cited_by_count":7,"area":"diffusion"},{"id":"2311.01955","title":"Too Much Information: Keeping Training Simple for BabyLMs","created":"2023-11-03","cited_by_count":7,"area":null},{"id":"2109.11177","title":"Exploiting Curriculum Learning in Unsupervised Neural Machine Translation","created":"2021-09-23","cited_by_count":6,"area":null},{"id":"2309.15995","title":"Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems","created":"2023-09-27","cited_by_count":6,"area":null},{"id":"2408.05326","title":"A Psychology-based Unified Dynamic Framework for Curriculum Learning","created":"2024-08-09","cited_by_count":6,"area":null},{"id":"2409.18647","title":"HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents","created":"2024-09-27","cited_by_count":6,"area":null},{"id":"2508.10175","title":"Estimating Machine Translation Difficulty","created":"2025-08-13","cited_by_count":6,"area":null},{"id":"2210.12499","title":"Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU","created":"2022-10-22","cited_by_count":5,"area":null},{"id":"2402.14948","title":"Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach","created":"2024-02-22","cited_by_count":5,"area":null},{"id":"2103.11088","title":"Token-wise Curriculum Learning for Neural Machine Translation","created":"2021-03-20","cited_by_count":4,"area":null},{"id":"2202.05531","title":"Cyclical Curriculum Learning","created":"2022-02-11","cited_by_count":4,"area":null},{"id":"2211.11297","title":"In-sample Curriculum Learning by Sequence Completion for Natural Language Generation","created":"2022-11-21","cited_by_count":4,"area":null},{"id":"2502.12701","title":"Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2112.06510","title":"Do Data-based Curricula Work?","created":"2021-12-13","cited_by_count":3,"area":null},{"id":"2308.12202","title":"Curriculum Learning with Adam: The Devil Is in the Wrong Details","created":"2023-08-23","cited_by_count":3,"area":null},{"id":"2407.05193","title":"CBM: Curriculum by Masking","created":"2024-07-06","cited_by_count":3,"area":null},{"id":"2502.12953","title":"Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2505.13429","title":"Understanding Complexity in VideoQA via Visual Program Generation","created":"2025-05-19","cited_by_count":3,"area":null},{"id":"2301.12589","title":"Confidence-Aware Calibration and Scoring Functions for Curriculum Learning","created":"2023-01-29","cited_by_count":2,"area":null},{"id":"2305.04493","title":"Token-Level Fitting Issues of Seq2seq Models","created":"2023-05-08","cited_by_count":2,"area":null},{"id":"2503.17494","title":"Efficient Knowledge Distillation via Curriculum Extraction","created":"2025-03-21","cited_by_count":2,"area":"distill"},{"id":"2103.00147","title":"Statistical Measures For Defining Curriculum Scoring Function","created":"2021-02-27","cited_by_count":1,"area":null},{"id":"2311.04480","title":"CLearViD: Curriculum Learning for Video Description","created":"2023-11-08","cited_by_count":1,"area":null},{"id":"2311.06696","title":"Simple and Effective Input Reformulations for Translation","created":"2023-11-12","cited_by_count":1,"area":null},{"id":"2401.07586","title":"Curriculum for Crowd Counting -- Is it Worthy?","created":"2024-01-15","cited_by_count":1,"area":null},{"id":"2402.14890","title":"Vygotsky Distance: Measure for Benchmark Task Similarity","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2412.13484","title":"Curriculum Learning for Cross-Lingual Data-to-Text Generation With Noisy Data","created":"2024-12-18","cited_by_count":1,"area":null},{"id":"2502.11779","title":"Efficient Response Generation Strategy Selection for Fine-Tuning Large Language Models Through Self-Aligned Perplexity","created":"2025-02-17","cited_by_count":1,"area":null},{"id":"2601.05858","title":"CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning","created":"2026-01-09","cited_by_count":1,"area":"alignment"},{"id":"2509.24356","title":"Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2602.17066","title":"Predictive Batch Scheduling: Accelerating Language Model Training Through Loss-Aware Sample Prioritization","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2607.18984","title":"Disentangling Curriculum Learning in NLP: Towards a Unifying Taxonomy","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2609.09999","title":"SalamandraTA at WMT 2026 Terminology Shared Task: Hard Examples Are Better Teachers","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.30379","title":"DanLing NestedTensor: Composable Multi-Ragged Tensors for Deep Learning","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2609.33655","title":"Towards Eliminating Catastrophic Forgetting in the Curriculum Learning of Math Reasoning Tasks","created":"2026-09-27","cited_by_count":0,"area":"lr"}],"next_cursor":null}