---
title: "Who cites Curriculum Learning"
description: "The papers of the Elamur Research library that cite «Curriculum Learning», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/"
---
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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](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/page/2/) · … · [7](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/cited-by/page/7/)

1. [$\beta$-OPSD: Deriving with Policy Optimization, Training with Self-Distillation](https://arxiv.org/abs/2607.28582) *— 2026 · arXiv:2607.28582*
2. [A Dual-Modality Framework for Ancient Document Layout Analysis and Text Recognition](https://aclanthology.org/2026.lt4hala-1.27/) *— 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](https://aclanthology.org/2026.eacl-long.350/) *— 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](https://arxiv.org/abs/2605.11458) *— 2026 · arXiv:2605.11458*
5. [Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction](https://aclanthology.org/2026.eacl-long.22/) *— 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](https://aclanthology.org/2026.loreslm-1.19/) *— 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](https://aclanthology.org/2026.acl-srw.11/) *— 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](https://arxiv.org/abs/2602.06570) *— 2026 · arXiv:2602.06570*
9. [Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning](https://aclanthology.org/2026.eacl-long.271/) *— 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](https://aclanthology.org/2026.eacl-industry.20/) *— 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](https://arxiv.org/abs/2603.18513) *— 2026 · arXiv:2603.18513*
12. [CLOT: Closed-Loop Global Motion Tracking for Whole-Body Humanoid Teleoperation](https://arxiv.org/abs/2602.15060) *— 2026 · arXiv:2602.15060*
13. [CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning](https://aclanthology.org/2026.findings-acl.1024/) *— 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](https://aclanthology.org/2026.findings-acl.680/) *— 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](https://aclanthology.org/2026.findings-acl.335/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
16. [Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions](https://aclanthology.org/2026.findings-acl.1498/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
17. [Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches](https://aclanthology.org/2026.eacl-short.23/) *— 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](https://aclanthology.org/2026.acl-long.1383/) *— 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](https://arxiv.org/abs/2605.12519) *— 2026 · arXiv:2605.12519*
20. [Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation](https://aclanthology.org/2026.findings-acl.332/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
21. [Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback](https://aclanthology.org/2026.findings-acl.1685/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
22. [DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels](https://arxiv.org/abs/2602.11715) *— 2026 · arXiv:2602.11715*
23. [DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management](https://aclanthology.org/2026.acl-long.722/) *— 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](https://aclanthology.org/2026.surgellm-1.12/) *— 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](https://aclanthology.org/2026.loresmt-1.22/) *— 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](https://arxiv.org/abs/2606.06712) *— 2026 · arXiv:2606.06712*
27. [Demystifying Data Organization for Enhanced LLM Training](https://aclanthology.org/2026.acl-long.1262/) *— 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](https://aclanthology.org/2026.acl-long.259/) *— 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](https://aclanthology.org/2026.cdl-1.10/) *— 2026 · Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL)*
30. [Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory](https://aclanthology.org/2026.eacl-long.333/) *— 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](https://aclanthology.org/2026.findings-acl.1009/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
32. [ENVS: Environment-Native Verified Search for Long-Horizon GUI Agents](https://arxiv.org/abs/2606.22948) *— 2026 · arXiv:2606.22948*
33. [Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning](https://arxiv.org/abs/2609.16255) *— 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](https://aclanthology.org/2026.acl-short.27/) *— 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](https://aclanthology.org/2026.lt4hala-1.28/) *— 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](https://aclanthology.org/2026.findings-acl.1031/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
37. [Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation](https://arxiv.org/abs/2603.13260) *— 2026 · arXiv:2603.13260*
38. [FinRAG-12B: A Production-Validated Recipe for Grounded Question Answering in Banking](https://aclanthology.org/2026.acl-industry.92/) *— 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](https://aclanthology.org/2026.findings-acl.1021/) *— 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](https://aclanthology.org/2026.acl-long.637/) *— 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](https://aclanthology.org/2026.acl-long.101/) *— 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](https://aclanthology.org/2026.acl-long.475/) *— 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](https://aclanthology.org/2026.eacl-srw.71/) *— 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](https://arxiv.org/abs/2606.17682) *— 2026 · arXiv:2606.17682*
45. [Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning](https://arxiv.org/abs/2601.19280) *— 2026 · arXiv:2601.19280*
46. [HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model](https://md.research.elamur.ai/free/en/papers/langstream-2026-kayzer-hebatron-hebrew-specialized-open-weight/) *— our card · 2026 · arXiv:2605.11255*
47. [How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization](https://aclanthology.org/2026.findings-acl.724/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
48. [Hybrid Quantum-Classical PINNs for Scientific Computing: A Multi-GPU Open-Source Framework](https://arxiv.org/abs/2604.15645) *— 2026 · arXiv:2604.15645*
49. [IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning](https://aclanthology.org/2026.acl-long.1017/) *— 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](https://arxiv.org/abs/2602.15845) *— 2026 · arXiv:2602.15845*
51. [KoCo: Conditioning Language Model Pre-training on Knowledge Coordinates](https://aclanthology.org/2026.acl-long.1111/) *— 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](https://aclanthology.org/2026.acl-long.505/) *— 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](https://aclanthology.org/2026.acl-long.1370/) *— 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](https://arxiv.org/abs/2603.12478) *— 2026 · arXiv:2603.12478*
55. [LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment](https://aclanthology.org/2026.findings-acl.1536/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
56. [Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation](https://aclanthology.org/2026.findings-acl.436/) *— 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](https://aclanthology.org/2026.semeval-1.304/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
58. [Making Synthetic Questions More Child-Directed: Prompting and Sampling Effects](https://aclanthology.org/2026.cdl-1.18/) *— 2026 · Proceedings of the 1st Workshop on Computational Developmental Linguistics (CDL)*
59. [Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs](https://arxiv.org/abs/2601.12494) *— 2026 · arXiv:2601.12494*
60. [Multimodal Ancient Document Parsing: Technical Report for EvaHan2026 Competition](https://aclanthology.org/2026.lt4hala-1.33/) *— 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](https://aclanthology.org/2026.acl-long.1807/) *— 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](https://arxiv.org/abs/2604.09791) *— 2026 · arXiv:2604.09791*
63. [Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce](https://aclanthology.org/2026.acl-industry.40/) *— 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](https://arxiv.org/abs/2605.17428) *— 2026 · arXiv:2605.17428*
65. [Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum Learning](https://aclanthology.org/2026.findings-acl.2045/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
66. [Reason2Decide: Rationale-Driven Multi-Task Learning](https://aclanthology.org/2026.lrec-1.181/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
67. [Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives](https://aclanthology.org/2026.findings-eacl.15/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
68. [Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty](https://aclanthology.org/2026.findings-acl.144/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
69. [SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression](https://aclanthology.org/2026.acl-long.661/) *— 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](https://aclanthology.org/2026.acl-long.16/) *— 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](https://aclanthology.org/2026.findings-acl.171/) *— 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](https://aclanthology.org/2026.acl-industry.23/) *— 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](https://aclanthology.org/2026.semeval-1.74/) *— 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](https://arxiv.org/abs/2605.23194) *— 2026 · arXiv:2605.23194*
75. [SeCuRepair: Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework](https://aclanthology.org/2026.acl-long.1481/) *— 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](https://aclanthology.org/2026.acl-long.2116/) *— 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](https://arxiv.org/abs/2609.35783) *— 2026 · arXiv:2609.35783*
78. [Statistical Properties of the King Wen Sequence: An Anti-Habituation Structure That Does Not Improve Neural Network Training](https://arxiv.org/abs/2604.09234) *— 2026 · arXiv:2604.09234*
79. [Superlinear Multi-Step Attention](https://arxiv.org/abs/2601.18401) *— 2026 · arXiv:2601.18401*
80. [TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models](https://arxiv.org/abs/2602.15449) *— 2026 · arXiv:2602.15449*
81. [TIP: Token Importance in On-Policy Distillation](https://arxiv.org/abs/2604.14084) *— 2026 · arXiv:2604.14084*
82. [TREK: Distill to Explore, Reinforce to Refine](https://arxiv.org/abs/2607.05339) *— 2026 · arXiv:2607.05339*
83. [Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning](https://aclanthology.org/2026.findings-eacl.294/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
84. [Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model Compatibility](https://arxiv.org/abs/2605.29229) *— 2026 · arXiv:2605.29229*
85. [The Challenge of Finding Robust and Efficient Strategies for Training Machine Translation Models with Noisy Data](https://aclanthology.org/2026.eamt-1.13/) *— 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](https://aclanthology.org/2026.cmcl-1.26/) *— 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](https://arxiv.org/abs/2609.33655) *— 2026 · arXiv:2609.33655*
88. [Trajectory Learnability for Offline On-Policy Distillation with Imperfect Teachers](https://arxiv.org/abs/2609.18321) *— 2026 · arXiv:2609.18321*
89. [UTD-HLTRI at SemEval 2026 Task 4: Reasoning like an Expert for Inferring Narrative Similarity](https://aclanthology.org/2026.semeval-1.433/) *— 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](https://aclanthology.org/2026.acl-long.789/) *— 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](https://aclanthology.org/2026.acl-long.1591/) *— 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](https://arxiv.org/abs/2605.23067) *— 2026 · arXiv:2605.23067*
93. [Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models](https://aclanthology.org/2026.acl-long.1393/) *— 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](https://aclanthology.org/2026.acl-long.255/) *— 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](https://arxiv.org/abs/2602.07832) *— 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](https://www.aas.net.cn/cn/article/doi/10.16383/j.aas.c250515) *— 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](https://aclanthology.org/2025.coling-main.577/) *— 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](https://arxiv.org/abs/2507.21046) *— 2025 · arXiv:2507.21046*
99. [Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback](https://aclanthology.org/2025.acl-long.997/) *— 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](https://aclanthology.org/2025.emnlp-main.419/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*

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