{"total":58,"rows":[{"id":"2401.01335","title":"Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models","created":"2024-01-02","cited_by_count":557,"area":"synth"},{"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":"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":"2211.09703","title":"EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones","created":"2022-11-17","cited_by_count":43,"area":null},{"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":"2103.02262","title":"Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation","created":"2021-03-03","cited_by_count":28,"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":"2506.11300","title":"Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning","created":"2025-06-12","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":"2203.09486","title":"An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models","created":"2022-03-17","cited_by_count":20,"area":null},{"id":"2405.08768","title":"EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training","created":"2024-05-14","cited_by_count":18,"area":null},{"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":"2311.14199","title":"A Systematic Review of Deep Learning-based Research on Radiology Report Generation","created":"2023-11-23","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":"2212.07617","title":"Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking","created":"2022-12-15","cited_by_count":12,"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":"2212.12712","title":"When Do Curricula Work in Federated Learning?","created":"2022-12-24","cited_by_count":9,"area":null},{"id":"2204.09957","title":"Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension","created":"2022-04-21","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":"2306.04650","title":"GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning","created":"2023-06-06","cited_by_count":7,"area":null},{"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":"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":"2208.10226","title":"From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking","created":"2022-08-22","cited_by_count":5,"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":"2103.11088","title":"Token-wise Curriculum Learning for Neural Machine Translation","created":"2021-03-20","cited_by_count":4,"area":null},{"id":"2201.07365","title":"Improving Neural Machine Translation by Denoising Training","created":"2022-01-19","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":"2410.21728","title":"Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models","created":"2024-10-29","cited_by_count":4,"area":"lr"},{"id":"2112.06510","title":"Do Data-based Curricula Work?","created":"2021-12-13","cited_by_count":3,"area":null},{"id":"2208.06883","title":"Confidence-Guided Learning Process for Continuous Classification of Time Series","created":"2022-08-14","cited_by_count":3,"area":null},{"id":"2504.10151","title":"Continual learning for rotating machinery fault diagnosis with cross-domain environmental and operational variations","created":"2025-04-14","cited_by_count":3,"area":null},{"id":"2509.14031","title":"You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models","created":"2025-09-17","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":"2103.00147","title":"Statistical Measures For Defining Curriculum Scoring Function","created":"2021-02-27","cited_by_count":1,"area":null},{"id":"2103.06964","title":"Learning Policies for Multilingual Training of Neural Machine Translation Systems","created":"2021-03-11","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":"2402.14890","title":"Vygotsky Distance: Measure for Benchmark Task Similarity","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2403.02639","title":"False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy","created":"2024-03-05","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":"2106.08569","title":"Curriculum generation using Autoencoder based continuous optimization","created":"2021-06-16","cited_by_count":0,"area":null},{"id":"2305.02139","title":"A Curriculum View of Robust Loss Functions","created":"2023-05-03","cited_by_count":0,"area":null},{"id":"2309.02640","title":"Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation","created":"2023-09-06","cited_by_count":0,"area":null},{"id":"2408.05575","title":"In-Context Exploiter for Extensive-Form Games","created":"2024-08-10","cited_by_count":0,"area":null},{"id":"2410.06118","title":"Optimizing the Training Schedule of Multilingual NMT using Reinforcement Learning","created":"2024-10-08","cited_by_count":0,"area":"alignment"},{"id":"2410.20041","title":"Sparse Linear Bandits with Blocking Constraints","created":"2024-10-26","cited_by_count":0,"area":null},{"id":"2503.16511","title":"Token-Level Uncertainty-Aware Objective for Language Model Post-Training","created":"2025-03-15","cited_by_count":0,"area":"distill"},{"id":"2505.22042","title":"Estimating the Effects of Sample Training Orders for Large Language Models without Retraining","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2603.13761","title":"Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2603.27226","title":"Rethinking Easy-to-Hard: Limits of Curriculum Learning in Post-Training for Deductive Reasoning","created":"2026-03-28","cited_by_count":0,"area":"lr"}],"next_cursor":null}