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Who cites «Curriculum Learning» · page 2

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

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  1. An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  2. Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  3. Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs — 2025 · Proceedings of the First BabyLM Workshop
  4. Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development — 2025 · Proceedings of the First BabyLM Workshop
  5. Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework — 2025 · arXiv:2506.05695
  6. 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)
  7. Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning — 2025 · arXiv:2506.04723
  8. Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining — 2025 · Proceedings of the First BabyLM Workshop
  9. Beyond Shallow Heuristics: Leveraging Human Intuition for Curriculum Learning — 2025 · Proceedings of the 8th International Conference on Natural Language and Speech Processing (ICNLSP-2025)
  10. Bridge-Coder: Transferring Model Capabilities from High-Resource to Low-Resource Programming Language — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  11. CCL25-Eval 任务5系统报告:基于千问大模型的古诗词理解与推理研究 — 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
  12. Can Large Reasoning Models Self-Train? — 2025 · arXiv:2505.21444
  13. Can an Easy-to-Hard Curriculum Make Reasoning Emerge in Small Language Models? Evidence from a Four-Stage Curriculum on GPT-2 — 2025 · arXiv:2505.11643
  14. ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning — 2025 · arXiv:2501.06590
  15. Choose Your Words Wisely: Domain-adaptive Masking Makes Language Models Learn Faster — 2025 · Proceedings of the 10th Workshop on Representation Learning for NLP (RepL4NLP-2025)
  16. Classifying Unreliable Narrators with Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. ClimateCheck2025: Multi-Stage Retrieval Meets LLMs for Automated Scientfic Fact-Checking — 2025 · Proceedings of the Fifth Workshop on Scholarly Document Processing (SDP 2025)
  18. Code-Switching Curriculum Learning for Multilingual Transfer in LLMs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  19. Courtroom-LLM: A Legal-Inspired Multi-LLM Framework for Resolving Ambiguous Text Classifications — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  20. Critique-Guided Distillation for Robust Reasoning via Refinement — 2025 · arXiv:2505.11628 · Proceedings of the 43rd International Conference on Machine Learning, PMLR 270, 2026
  21. Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning — 2025 · arXiv:2506.06632
  23. Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  24. Detecting Honkadori based on Waka Embeddings — 2025 · Proceedings of the Second Workshop on Ancient Language Processing
  25. Efficient Knowledge Distillation via Curriculum Extraction — 2025 · arXiv:2503.17494
  26. EfficientLLM: Efficiency in Large Language Models — 2025 · arXiv:2505.13840
  27. Enhancing Attributed Question Answering using Tailored Progressive Curriculum Learning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  28. Estimating Machine Translation Difficulty — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  29. 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)
  30. Game Development as Human-LLM Interaction — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. GraphAgent: Agentic Graph Language Assistant — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  32. HITS at DISRPT 2025: Discourse Segmentation, Connective Detection, and Relation Classification — 2025 · Proceedings of the 4th Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2025)
  33. HiPPO: Exploring A Novel Hierarchical Pronunciation Assessment Approach for Spoken Languages — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  34. Hope_for_best@LT-EDI 2025: Detecting Racial Hoaxes in Code-Mixed Hindi-English Social Media Data using a multi-phase fine-tuning strategy — 2025 · Proceedings of the 5th Conference on Language, Data and Knowledge: Fifth Workshop on Language Technology for Equality, Diversity, Inclusion
  35. Improving Chemical Understanding of LLMs via SMILES Parsing — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  36. Influence-driven Curriculum Learning for Pre-training on Limited Data — 2025 · Proceedings of the First BabyLM Workshop
  37. Investigating the Zone of Proximal Development of Language Models for In-Context Learning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  38. Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper — 2025 · arXiv:2511.04583
  39. K-order Ranking Preference Optimization for Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  40. Knowledge Graph Entity Typing with Curriculum Contrastive Learning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  41. Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  42. 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
  43. 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
  44. Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  45. Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  46. Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language Models — 2025 · arXiv:2508.06135
  47. Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models — 2025 · arXiv:2512.22814
  48. MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning — 2025 · arXiv:2506.14990
  49. Masked Diffusion Language Models with Frequency-Informed Training — 2025 · Proceedings of the First BabyLM Workshop
  50. Metapseud at Iqra''Eval: Domain Adaptation with Multi-Stage Fine-Tuning for Phoneme-Level Qur''anic Mispronunciation Detection — 2025 · Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks
  51. MetninOzU at BioLaySumm2025: Text Summarization with Reverse Data Augmentation and Injecting Salient Sentences — 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)
  52. Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  53. MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  54. Muon-Accelerated Attention Distillation for Real-Time Edge Synthesis via Optimized Latent Diffusion — 2025 · arXiv:2504.08451
  55. 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
  56. 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)
  57. Pisets: A Robust Speech Recognition System for Lectures and Interviews — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)
  58. Pre-Training Curriculum for Multi-Token Prediction in Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  59. Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning — 2025 · arXiv:2504.01459
  60. Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  61. Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  62. QueryShield: A Platform to Mitigate Enterprise Data Leakage in Queries to External LLMs — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)
  63. RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  64. RAISE: Reinforced Adaptive Instruction Selection For Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  65. 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
  66. 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)
  67. Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  68. Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  69. Reasoning Distillation and Structural Alignment for Improved Code Generation — 2025 · arXiv:2510.17598
  70. RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  71. RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? — 2025 · arXiv:2501.11284
  72. 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)
  73. Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset — 2025 · arXiv:2510.15742
  74. Self-Evolving Curriculum for LLM Reasoning — 2025 · arXiv:2505.14970
  75. Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks — 2025 · arXiv:2502.03806
  76. Small Models, Smarter Learning: The Power of Joint Task Training — 2025 · arXiv:2505.18369
  77. SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  78. Speed Up Your Code: Progressive Code Acceleration Through Bidirectional Tree Editing — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  79. Staged Knowledge Distillation Through Least-to-Most Prompting: Optimizing Teacher Guidance via Difficulty-Aware Training — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  80. Structured Agent Distillation for Large Language Model — 2025 · arXiv:2505.13820 · The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026)
  81. Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  82. Swiss German Speech Translation and the Curse of Multidialectality — 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
  83. SynLexLM: Scaling Legal LLMs with Synthetic Data and Curriculum Learning — 2025 · arXiv:2504.18762
  84. Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  85. Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  86. Teaching by Failure: Counter-Example–Driven Curricula for Transformer Self-Improvement — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  87. Temporal Action Detection Model Compression by Progressive Block Drop — 2025 · arXiv:2503.16916
  88. The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model — 2025 · arXiv:2501.16226
  89. 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)
  90. Training Medical QA Models Based on Mixed Rewards from Multiple-Choice and Open-Ended Questions — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  91. Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  92. WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  93. 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
  94. What is the Best Sequence Length for BabyLM? — 2025 · Proceedings of the First BabyLM Workshop
  95. Yandex Submission to the WMT25 General Machine Translation Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
  96. Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  97. Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  98. pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  99. A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis — 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
  100. 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)

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