Curriculum Learning

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15 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

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Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model Compatibility
May 28, 2026Jiahao Huang, Fei Cheng, Junfeng Jiang +1Reasoning Distillation Training Data Selection
University of Tokyo · Kyoto University · National Institute of Informatics
Leveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion Recognition
May 20, 2026Phuong-Anh Nguyen, The-Son Le, Duc-Trong Le +1Modality Imbalance Emotion Recognition in Conversations
Faculty of Information Technology, VNU University of Engineering and Technology, 100000, Hanoi, Vietnam.
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models
May 19, 2026Juncheng Wu, Hardy Chen, Haoqin Tu +6Vision-Language Models VLM Reasoning
Amazon · UC Santa Cruz · University of Waterloo +1
From Simple to Complex: Curriculum-Guided Physics-Informed Neural Networks via Gaussian Mixture Models
May 19, 2026Jianan Yang, Yiran Wang, Shuai Li +3PDE Solving Curriculum Learning
Xi’an Jiaotong University, Xi’an, China · College of International Business, Zhejiang Yuexiu University, Shaoxing, China · Shaoxing Key Laboratory of Intelligent Monitoring and Prevention of Smart Society, Shaoxing, China +1
Curriculum Learning of Physics-Informed Neural Networks based on Spatial Correlation
May 14, 2026Xujia Chen, Xinyue Hu, Letian Chen +2PDE Solving Curriculum Learning
Department of Automation, Tsinghua University, Beijing 100084, P.R. China
VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use
May 13, 2026Juan S. SantillanaSmall Language Models LLMs for Cybersecurity
Globant
Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition
May 13, 2026Kush Juvekar, Kavya Manohar, Aditya Srinivas Menon +2ASR Evaluation Automatic Speech Recognition
Adalat AI, India
Evolutionary Task Discovery: Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling
May 12, 2026Liqin Ye, Yanbin Yin, Michael Galarnyk +3Evolutionary Optimization Curriculum Learning
Georgia Institute of Technology
MolSight: Molecular Property Prediction with Images
May 11, 2026Aaditya Baranwal, Akshaj Gupta, Yogesh S Rawat +1Curriculum Learning Molecular Property Prediction
University of Central Florida, Orlando, Florida, USA · Birla Institute of Technology and Science, Pilani, Rajasthan, India
EFGCL: Learning Dynamic Motion through Spotting-Inspired External Force Guided Curriculum Learning
May 11, 2026Keita Yoneda, Kento Kawaharazuka, Kei OkadaReinforcement Learning Whole-Body Control
Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan · AI Center, Graduate School of Information Science and Technology, The University of Tokyo, Japan
CrossVL: Complexity-Aware Feature Routing and Paired Curriculum for Cross-View Vision-Language Detection
May 10, 2026Zhipeng Liu, Chunbo LuoMulti-View Consistency VLM Adaptation
Department of Computer Science, University of Exeter
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning
May 10, 2026Haoqiang Kang, Xiaokang Ye, Yuhan Liu +5Embodied Navigation AI Coding Agents
1UC San Diego · 2New York University
Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning
May 1, 2026Shouyu Yin, Zhao Tian, Junjie Chen +1RL for Code Generation Curriculum Learning
Tianjin University, Tianjin, China · Dalian Maritime University, Dalian, China
ANCORA: Learning to Question via Manifold-Anchored Self-Play for Verifiable Reasoning
Apr 30, 2026Chengcao YangSelf-Play RL RL for Language Model Reasoning
Wuhan University Wuhan, China
SpaAct: Spatially-Activated Transition Learning with Curriculum Adaptation for Vision-Language Navigation
Apr 30, 2026Pengna Li, Kangyi Wu, Shaoqing Xu +7VLM Adaptation Vision-Language Navigation
National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University · The State Key Laboratory of Internet of Things for Smart City, Centre for Artificial Intelligence and Robotics, University of Macau · Xiaomi EV +2
What Kind of Language is Easy to Language-Model Under Curriculum Learning?
Apr 29, 2026Nadine El-Naggar, Tatsuki Kuribayashi, Ted BriscoeInductive Bias Linguistic Bias in Language Models
Mohamed bin Zayed University of Artificial Intelligence
CurEvo: Curriculum-Guided Self-Evolution for Video Understanding
Apr 29, 2026Guiyi Zeng, Junqing Yu, Yi-Ping Phoebe Chen +3Video QA Curriculum Learning
Huazhong University of Science and Technology Wuhan, China · La Trobe University Melbourne, Australia · Beijing Institute of Computer Technology and Applications Beijing, China
POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation
Apr 27, 2026Yaohou Fan, Qingzhong Wang, Yongsong Huang +3Multi-Objective Reinforcement Learning RL for Image Generation
Tohoku University · Amazon Web Services
IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning
Apr 27, 2026Navya Gupta, Rishitej Reddy Vyalla, Avinash Anand +8Cross-Lingual Reasoning in Language Models RL for Language Model Reasoning
1Singapore Institute of Technology, Singapore · 2IIIT Delhi, New Delhi, India · University of California, San Diego, USA +2
TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents
Apr 27, 2026Jiaqi Wang, Wenhao Zhang, Weijie Shi +2Language Model Distillation LLM Agents
Tongyi Lab , Alibaba Group · † The Chinese University of Hong Kong.
Listen and Chant Before You Read: The Ladder of Beauty in LM Pre-Training
Apr 23, 2026Yoshinori NomuraLanguage Model Pretraining Audio-Language Models
Mirage Mountain Technologies Inc.
S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models
Apr 20, 2026Nitish Shukla, Surgan Jandial, Arun RossDirect Preference Optimization Visual Reasoning
Michigan State University · Carnegie Mellon University
AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum
Apr 20, 2026Jiaqi Li, Lvyang Zhang, Yang Zhao +2LLM Agent Skill Learning Curriculum Learning
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China
Statistical Properties of the King Wen Sequence: An Anti-Habituation Structure That Does Not Improve Neural Network Training
Apr 10, 2026Augustin ChanNeural Network Optimization Curriculum Learning
Independent Researcher
On the Emergence of Implicit Curriculum in RLVR Learning Dynamics
Feb 16, 2026Yu Huang, Zixin Wen, Yuejie Chi +4RL for Language Model Reasoning Reinforcement Learning with Verifiable Rewards
Department of Statistics and Data Science, Wharton School, University of Pennsylvania · Machine Learning Department, Carnegie Mellon University · Department of Statistics and Data Science, Yale University +1
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Jan 26, 2026Shobhita Sundaram, John Quan, Ariel Kwiatkowski +3Self-Play RL RL for Language Model Reasoning
1MIT · 2Meta FAIR · 3New York University
CHUCKLE -- When Humans Teach AI To Learn Emotions The Easy Way
Oct 10, 2025Ankush Pratap Singh, Houwei Cao, Yong LiuCurriculum Learning Emotion Recognition
New York Institute of Technology, Department of Computer Science, New York, United States · New York University, Electrical and Computer Engineering Department, New York, United States
Curriculum-Guided Layer Scaling for Language Model Pretraining
Jun 13, 2025Karanpartap Singh, Neil Band, Ehsan AdeliLanguage Model Pretraining Efficient Language Model Training
1Stanford University.
Dual-Difficulty Curriculum Learning for Direct Preference Optimization
Apr 10, 2025Mengyang Li, Haozhan Geng, Zhong Zhang +1Pairwise Preference Learning LLM Alignment
Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission Tianjin Normal University Tianjin, China
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Apr 7, 2025Taiwei Shi, Yiyang Wu, Linxin Song +2RL for Language Model Reasoning Mathematical Reasoning
University of Southern California · Carnegie Mellon University · Mohamed Bin Zayed University of Artificial Intelligence

May 28, 2026, cs.AIJ/K move · Enter open · S save

Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model Compatibility

Jiahao Huang, Fei Cheng, Junfeng Jiang, Akiko Aizawa

University of Tokyo · Kyoto University · National Institute of Informatics

Reasoning Distillation Training Data Selection Language Model Distillation Curriculum Learning

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Reasoning distillation transfers complex reasoning abilities from large language models (LLMs) to smaller ones, yet its success depends on how well the training data align with the student model. This paper introduces the Data-Model Compatibility (DMC) metric, which can be used to assess the suitability of a dataset for reasoning distillation on a student model. DMC provides an assessment by jointly considering data quality, relative difficulty, and student capability. We validated the effectiveness of DMC from two perspectives: (1) DMC exhibits a strong correlation with reasoning distillation performance; and (2) using DMC as the criterion for data selection leads to improved reasoning distillation performance. Both findings are consistently demonstrated across multiple student models and tasks. Moreover, since the DMC of each dataset dynamically changes during training, our experiments demonstrate that dynamically selecting datasets based on DMC can further enhance performance.

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Latest papers 93