{"total":202,"rows":[{"id":"2101.10382","title":"Curriculum Learning: A Survey","created":"2021-01-25","cited_by_count":259,"area":null},{"id":"2507.21046","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","created":"2025-07-28","cited_by_count":170,"area":"agents"},{"id":"2211.16231","title":"Curriculum Temperature for Knowledge Distillation","created":"2022-11-29","cited_by_count":112,"area":"distill"},{"id":"2504.03380","title":"Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning","created":"2025-04-04","cited_by_count":104,"area":"lr"},{"id":"2209.00099","title":"Efficient Methods for Natural Language Processing: A Survey","created":"2022-08-31","cited_by_count":78,"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":"2311.15830","title":"A-JEPA: Joint-Embedding Predictive Architecture Can Listen","created":"2023-11-27","cited_by_count":53,"area":null},{"id":"2105.12967","title":"Selective Knowledge Distillation for Neural Machine Translation","created":"2021-05-27","cited_by_count":43,"area":"distill"},{"id":"2211.09703","title":"EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones","created":"2022-11-17","cited_by_count":43,"area":null},{"id":"2210.10109","title":"A Survey of Active Learning for Natural Language Processing","created":"2022-10-18","cited_by_count":40,"area":null},{"id":"2403.07230","title":"Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences","created":"2024-03-12","cited_by_count":39,"area":"alignment"},{"id":"2502.09650","title":"Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples","created":"2025-02-11","cited_by_count":37,"area":"alignment"},{"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":"2106.00903","title":"Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation","created":"2021-06-02","cited_by_count":34,"area":"distill"},{"id":"2107.13741","title":"Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels","created":"2021-07-29","cited_by_count":32,"area":null},{"id":"2108.02170","title":"Curriculum learning for language modeling","created":"2021-08-04","cited_by_count":32,"area":null},{"id":"2506.02555","title":"SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence","created":"2025-06-03","cited_by_count":31,"area":"mllm"},{"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":"2405.07490","title":"Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning","created":"2024-05-13","cited_by_count":28,"area":null},{"id":"2204.03236","title":"Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum","created":"2022-04-07","cited_by_count":27,"area":null},{"id":"2303.00466","title":"ASP: Learn a Universal Neural Solver!","created":"2023-03-01","cited_by_count":27,"area":null},{"id":"2106.05546","title":"Progressive Multi-Granularity Training for Non-Autoregressive Translation","created":"2021-06-10","cited_by_count":25,"area":null},{"id":"2204.09867","title":"A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation","created":"2022-04-21","cited_by_count":25,"area":null},{"id":"2206.07258","title":"CLNode: Curriculum Learning for Node Classification","created":"2022-06-15","cited_by_count":24,"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":"2308.16572","title":"CL-MAE: Curriculum-Learned Masked Autoencoders","created":"2023-08-31","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":"2306.03208","title":"NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks","created":"2023-06-05","cited_by_count":20,"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":"2302.13959","title":"Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets","created":"2023-02-27","cited_by_count":19,"area":null},{"id":"2111.07228","title":"Curriculum Learning for Vision-and-Language Navigation","created":"2021-11-14","cited_by_count":18,"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":"2106.00941","title":"Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation","created":"2021-06-02","cited_by_count":17,"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":"2302.02926","title":"Curriculum Graph Machine Learning: A Survey","created":"2023-02-06","cited_by_count":15,"area":null},{"id":"2208.08110","title":"PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation","created":"2022-08-17","cited_by_count":14,"area":null},{"id":"2404.07946","title":"Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon","created":"2024-03-14","cited_by_count":14,"area":"diffusion"},{"id":"2410.03077","title":"CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions","created":"2024-10-04","cited_by_count":14,"area":null},{"id":"2212.01188","title":"Improving Simultaneous Machine Translation with Monolingual Data","created":"2022-12-02","cited_by_count":13,"area":"distill"},{"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":"2311.13258","title":"ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation","created":"2023-11-22","cited_by_count":13,"area":"mllm"},{"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":"2203.13867","title":"Data Selection Curriculum for Neural Machine Translation","created":"2022-03-25","cited_by_count":11,"area":null},{"id":"2106.04072","title":"Coarse-to-Fine Curriculum Learning","created":"2021-06-08","cited_by_count":10,"area":null},{"id":"2110.05342","title":"Semi-Autoregressive Image Captioning","created":"2021-10-11","cited_by_count":10,"area":null},{"id":"2110.07855","title":"Hierarchical Curriculum Learning for AMR Parsing","created":"2021-10-15","cited_by_count":10,"area":null},{"id":"2305.11999","title":"Advising OpenMP Parallelization via a Graph-Based Approach with Transformers","created":"2023-05-16","cited_by_count":10,"area":null},{"id":"2409.16084","title":"MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios","created":"2024-09-24","cited_by_count":10,"area":"mllm"},{"id":"2505.23091","title":"Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models","created":"2025-05-29","cited_by_count":10,"area":"lr"},{"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":"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":"2604.10079","title":"Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models","created":"2026-04-11","cited_by_count":8,"area":null},{"id":"2305.03827","title":"Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data","created":"2023-05-05","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":"2207.00807","title":"Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis","created":"2022-07-02","cited_by_count":6,"area":null},{"id":"2208.02301","title":"HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding","created":"2022-08-03","cited_by_count":6,"area":null},{"id":"2302.01049","title":"Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation","created":"2023-02-02","cited_by_count":6,"area":"distill"},{"id":"2302.05374","title":"LCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance","created":"2023-02-10","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":"2310.00840","title":"Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models","created":"2023-10-02","cited_by_count":6,"area":null},{"id":"2310.14605","title":"M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis","created":"2023-10-23","cited_by_count":6,"area":null},{"id":"2402.09390","title":"HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation","created":"2024-02-14","cited_by_count":6,"area":"lr"},{"id":"2405.12833","title":"A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data","created":"2024-05-21","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":"2410.00131","title":"Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models","created":"2024-09-30","cited_by_count":6,"area":null},{"id":"2502.06990","title":"Investigating the Zone of Proximal Development of Language Models for In-Context Learning","created":"2025-02-10","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":"2207.07868","title":"CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS","created":"2022-07-16","cited_by_count":5,"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":"2209.00277","title":"Video-Guided Curriculum Learning for Spoken Video Grounding","created":"2022-09-01","cited_by_count":5,"area":null},{"id":"2210.00313","title":"CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family","created":"2022-10-01","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":"2308.00279","title":"Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction","created":"2023-08-01","cited_by_count":5,"area":null},{"id":"2311.18761","title":"Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?","created":"2023-11-30","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":"2407.07853","title":"Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks","created":"2024-07-10","cited_by_count":5,"area":null},{"id":"2504.07856","title":"Dual-Difficulty Curriculum Learning for Direct Preference Optimization","created":"2025-04-10","cited_by_count":5,"area":"alignment"},{"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":"2202.00475","title":"From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction","created":"2022-01-16","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":"2212.01452","title":"CLIP: Train Faster with Less Data","created":"2022-12-02","cited_by_count":4,"area":null},{"id":"2302.04054","title":"Towards Inferential Reproducibility of Machine Learning Research","created":"2023-02-08","cited_by_count":4,"area":null},{"id":"2302.04589","title":"MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection","created":"2023-02-09","cited_by_count":4,"area":null},{"id":"2404.18106","title":"Semi-supervised Text-based Person Search","created":"2024-04-28","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":"2505.14163","title":"DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation","created":"2025-05-20","cited_by_count":4,"area":"agents"},{"id":"2601.03448","title":"Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks","created":"2026-01-06","cited_by_count":4,"area":null},{"id":"2603.03415","title":"Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs","created":"2026-03-03","cited_by_count":4,"area":null}],"next_cursor":"100"}