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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. $\beta$-OPSD: Deriving with Policy Optimization, Training with Self-Distillation — 2026 · arXiv:2607.28582
  2. A Dual-Modality Framework for Ancient Document Layout Analysis and Text Recognition — 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026
  3. 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)
  4. Adaptive Teacher Exposure for Self-Distillation in LLM Reasoning — 2026 · arXiv:2605.11458
  5. Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. 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)
  7. 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)
  8. Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Making — 2026 · arXiv:2602.06570
  9. 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)
  10. BornoDrishti: Leveraging Vision Encoders and Domain-Adaptive Learning for Bangla OCR on Diverse Documents — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)
  11. CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution — 2026 · arXiv:2603.18513
  12. CLOT: Closed-Loop Global Motion Tracking for Whole-Body Humanoid Teleoperation — 2026 · arXiv:2602.15060
  13. CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  14. CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM Agents — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  15. 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
  16. Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  17. 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)
  18. 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)
  19. Correct Answers from Sound Reasoning: Verifiable Process Supervision for Language Models — 2026 · arXiv:2605.12519
  20. Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  21. Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  22. DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels — 2026 · arXiv:2602.11715
  23. 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)
  24. 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)
  25. 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)
  26. Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation — 2026 · arXiv:2606.06712
  27. Demystifying Data Organization for Enhanced LLM Training — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. 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)
  30. 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)
  31. DynamicFocalPO: Adaptive Focusing Strategy for Preference Optimization — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  32. ENVS: Environment-Native Verified Search for Long-Horizon GUI Agents — 2026 · arXiv:2606.22948
  33. Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning — 2026 · arXiv:2609.16255 · MultiMedia Modeling (MMM 2026), Lecture Notes in Computer Science, vol. 16412, pp. 567-580, Springer, Singapore, 2026
  34. 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)
  35. 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
  36. EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning for LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  37. Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation — 2026 · arXiv:2603.13260
  38. FinRAG-12B: A Production-Validated Recipe for Grounded Question Answering in Banking — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
  39. Fine-Grained Data Ordering Improves Fine-Tuning for Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  40. 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)
  41. From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  42. 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)
  43. From Sentences to Proof Trees: Leveraging Language Models for Structured Reasoning — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  44. From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning — 2026 · arXiv:2606.17682
  45. Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning — 2026 · arXiv:2601.19280
  46. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model — our card · 2026 · arXiv:2605.11255
  47. 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
  48. Hybrid Quantum-Classical PINNs for Scientific Computing: A Multi-GPU Open-Source Framework — 2026 · arXiv:2604.15645
  49. IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  50. KD4MT: A Survey of Knowledge Distillation for Machine Translation — 2026 · arXiv:2602.15845
  51. KoCo: Conditioning Language Model Pre-training on Knowledge Coordinates — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  52. 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)
  53. 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)
  54. Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning — 2026 · arXiv:2603.12478
  55. LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  56. Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  57. MALTO at SemEval-2026 Task 13: Detecting Human, AI, and Hybrid Code via Hard Negative Mining and Curriculum-Driven Ensembles — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  58. Making Synthetic Questions More Child-Directed: Prompting and Sampling Effects — 2026 · Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL)
  59. Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs — 2026 · arXiv:2601.12494
  60. Multimodal Ancient Document Parsing: Technical Report for EvaHan2026 Competition — 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026
  61. 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)
  62. Pioneer Agent: Continual Improvement of Small Language Models in Production — 2026 · arXiv:2604.09791
  63. Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
  64. Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management Reinforcement Learning — 2026 · arXiv:2605.17428
  65. Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum Learning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  66. Reason2Decide: Rationale-Driven Multi-Task Learning — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  67. Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  68. Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  69. SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  70. SLR: Automated Synthesis for Scalable Logical Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  71. SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  72. 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)
  73. SU NLP 29 at SemEval-2026 Task 5: DynaOrd - Hybrid Dynamic Ordinal Regression with LoRA-Fine-Tuned DeBERTa-v3 — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  74. Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids — 2026 · arXiv:2605.23194
  75. 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)
  76. Selective Contrastive Learning For Gloss Free Sign Language Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  77. Soft Curriculum Learning for Optimizing Fresh and Generalized Recommendations — 2026 · arXiv:2609.35783
  78. Statistical Properties of the King Wen Sequence: An Anti-Habituation Structure That Does Not Improve Neural Network Training — 2026 · arXiv:2604.09234
  79. Superlinear Multi-Step Attention — 2026 · arXiv:2601.18401
  80. TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models — 2026 · arXiv:2602.15449
  81. TIP: Token Importance in On-Policy Distillation — 2026 · arXiv:2604.14084
  82. TREK: Distill to Explore, Reinforce to Refine — 2026 · arXiv:2607.05339
  83. Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  84. Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model Compatibility — 2026 · arXiv:2605.29229
  85. The Challenge of Finding Robust and Efficient Strategies for Training Machine Translation Models with Noisy Data — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
  86. 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
  87. Towards Eliminating Catastrophic Forgetting in the Curriculum Learning of Math Reasoning Tasks — 2026 · arXiv:2609.33655
  88. Trajectory Learnability for Offline On-Policy Distillation with Imperfect Teachers — 2026 · arXiv:2609.18321
  89. UTD-HLTRI at SemEval 2026 Task 4: Reasoning like an Expert for Inferring Narrative Similarity — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
  90. What Do LLMs Learn First? Asymmetric Learning Dynamics of Input Complexity and Output Ambiguity in Preference Alignment — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  91. 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)
  92. What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA — 2026 · arXiv:2605.23067
  93. 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)
  94. 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)
  95. rePIRL: Learn PRM with Inverse RL for LLM Reasoning — 2026 · arXiv:2602.07832
  96. 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)
  97. 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
  98. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence — 2025 · arXiv:2507.21046
  99. 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)
  100. Alignment with Fill-In-the-Middle for Enhancing Code Generation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

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