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Who cites «Curriculum Learning»

659 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. A Review of Incorporating Psychological Theories in LLMs — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Adaptive Teacher Exposure for Self-Distillation in LLM Reasoning — 2026 · arXiv:2605.11458
  3. Anchoring the Judge: Curriculum-Based Adaptation and Reference-Anchored MQM for LLM-Based Machine Translation of an Unseen Low-Resource Language - A Case of Nupe — 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
  4. Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  5. Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Making — 2026 · arXiv:2602.06570
  6. Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM Agents — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  8. Calibrated Progressive Distillation: Co-Designing Curriculum and Target Mixing for Knowledge Distillation of Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  9. Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
  10. Compatibility-Aware Dynamic Fine-Tuning for Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  11. Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  12. Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  13. DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. DSMentor: Curriculum-Guided Inference with Online Memory for Data-Science LLM Agents — 2026 · Proceedings of the First Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era (SURGeLLM 2026)
  15. Data-Centric Approach at the LoResMT 2026 Turkic Translation Challenge: Russian-Kyrgyz — 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)
  16. Do large language models and humans follow similar learning stages? Assessing GPT-2's order of Swedish grammar acquisition within the Processability Theory framework — 2026 · Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL)
  17. Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  18. DynamicFocalPO: Adaptive Focusing Strategy for Preference Optimization — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  19. Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  20. EvaHan 2026 Ancient Books Multimodal OCR and Layout Analysis System Technical Report — 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026
  21. Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation — 2026 · arXiv:2603.13260
  22. From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  23. From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  24. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model — our card · 2026 · arXiv:2605.11255
  25. How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  26. Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  29. Making Synthetic Questions More Child-Directed: Prompting and Sampling Effects — 2026 · Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL)
  30. Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs — 2026 · arXiv:2601.12494
  31. One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  32. Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum Learning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  33. Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  34. Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  35. SSR-A: Spatial- and Semantic-Aware Instructions and Curriculum Reinforcement for Advertisement Compliant Rectification — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
  36. SeCuRepair: Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  37. TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models — 2026 · arXiv:2602.15449
  38. TIP: Token Importance in On-Policy Distillation — 2026 · arXiv:2604.14084
  39. Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data — 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics
  40. What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  41. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  42. Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  43. 高效提升多模态大语言模型推理能力的级联强化学习策略 — 2026 · 自动化学报 (Acta Automatica Sinica)
  44. A Chain-of-Task Framework for Instruction Tuning of LLMs Based on Chinese Grammatical Error Correction — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  45. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence — 2025 · arXiv:2507.21046
  46. Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. Alignment with Fill-In-the-Middle for Enhancing Code Generation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  48. Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  49. Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs — 2025 · Proceedings of the First BabyLM Workshop
  50. Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development — 2025 · Proceedings of the First BabyLM Workshop
  51. Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework — 2025 · arXiv:2506.05695
  52. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  53. Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning — 2025 · arXiv:2506.04723
  54. Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining — 2025 · Proceedings of the First BabyLM Workshop
  55. Can Large Reasoning Models Self-Train? — 2025 · arXiv:2505.21444
  56. ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning — 2025 · arXiv:2501.06590
  57. Code-Switching Curriculum Learning for Multilingual Transfer in LLMs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  58. Courtroom-LLM: A Legal-Inspired Multi-LLM Framework for Resolving Ambiguous Text Classifications — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  59. Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning — 2025 · arXiv:2506.06632
  60. Estimating Machine Translation Difficulty — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  61. Evaluating and Improving Graph to Text Generation with Large Language Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  62. Influence-driven Curriculum Learning for Pre-training on Limited Data — 2025 · Proceedings of the First BabyLM Workshop
  63. Investigating the Zone of Proximal Development of Language Models for In-Context Learning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  64. Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper — 2025 · arXiv:2511.04583
  65. Language models can learn implicit multi-hop reasoning, but only if they have lots of training data — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  66. Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  67. Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language Models — 2025 · arXiv:2508.06135
  68. Masked Diffusion Language Models with Frequency-Informed Training — 2025 · Proceedings of the First BabyLM Workshop
  69. MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  70. NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  71. PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  72. Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  73. RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track
  74. RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
  75. Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  76. Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  77. RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? — 2025 · arXiv:2501.11284
  78. ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  79. Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset — 2025 · arXiv:2510.15742
  80. Self-Evolving Curriculum for LLM Reasoning — 2025 · arXiv:2505.14970
  81. Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks — 2025 · arXiv:2502.03806
  82. SynLexLM: Scaling Legal LLMs with Synthetic Data and Curriculum Learning — 2025 · arXiv:2504.18762
  83. Towards Effective and Efficient Continual Pre-training of Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  84. WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and Rollback — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  85. What is the Best Sequence Length for BabyLM? — 2025 · Proceedings of the First BabyLM Workshop
  86. A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  87. A surprisal oracle for when every layer counts — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
  88. Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  89. AutoWebGLM: A Large Language Model-based Web Navigating Agent — 2024 · arXiv:2404.03648
  90. Automatic Pair Construction for Contrastive Post-training — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  91. Automatic Quality Estimation for Data Selection and Curriculum Learning — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
  92. Balanced Data Sampling for Language Model Training with Clustering — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  93. CEPT: A Contrast-Enhanced Prompt-Tuning Framework for Emotion Recognition in Conversation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  94. Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence — 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning
  95. CoELM: Construction-Enhanced Language Modeling — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  96. CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  97. Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models — 2024 · arXiv:2404.02823
  98. CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  99. Curriculum Learning for Small Code Language Models — 2024 · arXiv:2407.10194
  100. Data-driven Discovery with Large Generative Models — 2024 · arXiv:2402.13610

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