Iterative Co-Training

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Period ending 2026-09-07

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A weekly snapshot of new work published in Iterative Co-Training.

36 papers

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  1. Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails

    Sep 8, 2026Zhou Yu, Bin Bi, Shiva Kumar Pentyala +8Agent HarnessIterative Co-Training

  2. WDL-OPD: Weak-Driven On-Policy Distillation via Mixture-Constrained Co-Training

    Aug 10, 2026Zehao Chen, Gongxun Li, Tianxiang Ai +9On-Policy DistillationRp-Opsd

  3. Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning

    Aug 5, 2026Xuehang Guo, Pengyuan Li, Tom Hope +3Self-Supervised RepresentationsCo-Evolution

  4. Learning What to Remember and What to Internalize in LLM Self-Evolution via Adaptive Memory-Parameter Coordination

    Aug 2, 2026Tianyun Ji, Zhenya Huang, Jiayu Liu +3Self-Evolving AgentsSelf-Evolution

  5. C^2KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference

    Jul 20, 2026Chuheng Du, Junyi Chen, Hanlin Tang +7Key-Value CacheEfficient Long-Context Inference

  6. SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models

    Jul 7, 2026Changti Wu, Bin Yu, Zhaolong Shen +6Imitation LearningVision-Language-Action Models

  7. Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation

    Jul 6, 2026Haozhe Wang, Weijia Feng, Jinpeng Yu +8Visual GenerationGenerators

  8. Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation

    Jul 3, 2026Wei Zhang, Lin Tang, Ming Zhao +1Domain AdaptationLow-Rank Adaptation Adapters

  9. VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignment

    Jul 2, 2026Guoyang Xia, Fengfa Li, Hongjin Ji +4Vision-Language-Action ModelsIterative Co-Training

  10. Human-Machine Collaboration on Generative Meta-Learning: Model and Algorithm

    Jul 1, 2026Midhun Parakkal Unni, Samuel KaskiMeta-LearningReinforcement Learning From Human Feedback

  11. Tandem Reinforcement Learning with Verifiable Rewards

    Jun 26, 2026Difan Jiao, Raghav Singhal, Robert West +1Reinforcement Learning With Verifiable RewardVerifiable Rewards

  12. GCT-MARL: Graph-Based Contrastive Transfer for Sample-Efficient Cooperative Multi-Agent Reinforcement Learning

    Jun 23, 2026Animesh Animesh, Satheesh K Perepu, Kaushik DeyMulti-Agent Reinforcement LearningIterative Co-Training

  13. CoRDE: Concept-Prior Routed Diffusion Experts for Structural Generalization in Robot Manipulation

    Jun 20, 2026Haidong Huang, Xixin Zhao, Yaohua Zhou +5Diffusion PoliciesIterative Co-Training

  14. PACT: Privileged Trace Co-Training for Multi-Turn Tool-Use Agents

    Jun 15, 2026Zhenbang Du, Jun Luo, Zhiwei Zheng +8Multi-Turn Tool-Use AgentIterative Co-Training

  15. Be My Tutor: On-Policy Co-Distillation for Mutual LLM Improvement via Peer Feedback

    Jun 12, 2026Woohyeon Byeon, Jiwon Jeon, Jeonghye Kim +1On-Policy DistillationIterative Co-Training

  16. INFUSER: Influence-Guided Self-Evolution Improves Reasoning

    Jun 8, 2026Siyu Chen, Miao Lu, Beining Wu +7Self-EvolutionIterative Co-Training

  17. Self-Evolving Deep Research via Joint Generation and Evaluation

    Jun 3, 2026Han Zhu, Chengkun Cai, Yuanfeng Song +3Deep ResearchSelf-Evolution

  18. ANDES: Agent Native Data Evolving Synthesis Tool for Autonomous Instruction Alignment

    May 31, 2026Zhengyang Zhao, Shengjie Ye, Lu Ma +3Iterative Co-TrainingArtificial Intelligence Research

  19. COLLIE: Guiding Skill Discovery in Semantically Coherent Latent Space

    May 31, 2026Yao Luan, Ni Mu, Hanfei Ge +3Unsupervised Skill DiscoveryIterative Co-Training

  20. HyperSim: A Holistic Sim-To-Real Framework For Robust Robotic Manipulation

    May 26, 2026Junyi Dong, Haotian Luo, Ziwei Xu +11Zero-Shot Sim-To-Real TransferRobotic Manipulation Policies

  21. SEAL: Synergistic Co-Evolution of Agents and Learning Environments

    May 23, 2026Yihao Hu, Zhihao Wen, Xiujin Liu +3Self-Evolving AgentsLarge Language Model Agents

  22. OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization

    May 21, 2026Feng Zhu, Shuyang Xie, Yihan Zeng +2Image RestorationRestoration

  23. Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training

    May 20, 2026Hongzhi Ruan, Pei Liu, Weiliang Ma +5Naturalistic Driving DataIterative Co-Training

  24. UAM: A Dual-Stream Perspective on Forgetting in VLA Training

    May 15, 2026Jianke Zhang, Yuanfei Luo, Yucheng Hu +6Vision-Language-Action ModelsVisuomotor Control

  25. Revisiting DAgger in the Era of LLM-Agents

    May 13, 2026Changhao Li, Rushi Qiang, Jiawei Huang +4Large Language Model AgentsIterative Co-Training

  26. Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories

    May 11, 2026Yixuan Yang, Mehak Arora, Ryan Zhang +10Joint-Embedding Predictive ArchitecturesPatient Trajectories

  27. LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification

    May 8, 2026Jacob Ativo, Bharaneeshwar Balasubramaniyam, Anh Tran +4CrisisSemi-Supervised Learning

  28. Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions

    May 8, 2026Marwane Hariat, Antoine Manzanera, David FilliatDepth EstimationOptical Flow

  29. Convergence and Emergence of In-Context Reinforcement Learning with Chain of Thought

    May 8, 2026Zixuan Xie, Xinyu Liu, Rohan Chandra +1In-Context LearningIterative Co-Training

  30. Dual-Agent Co-Training for Health Coaching via Implicit Adversarial Preference Optimization

    May 7, 2026Da Long, Lingyi Fu, Diya Michelle Rao +3Iterative Co-TrainingConversational Artificial Intelligence

  31. Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning

    Apr 22, 2026Zoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy +2Agentic Reinforcement-Learning FrameworkInstruction

  32. CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation

    Apr 21, 2026Jianzhi Yan, Le Liu, Buzhou Tang +3Large Language Model AdaptationEfficient Latent Reasoning

  33. CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution

    Apr 17, 2026Shidong Yang, Ziyu Ma, Tongwen Huang +3Self-Evolving AgentsAgentic Reinforcement-Learning Framework

  34. HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies

    Dec 5, 2025Zhiying Du, Bei Liu, Yaobo Liang +7Mixture-of-Experts ModelsIterative Co-Training

  35. SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning

    Oct 3, 2024Nikos Giakoumoglou, Tania StathakiContrastive LearningImagenet

  36. CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval

    Date pendingVaishali Senthil, Ashutosh Hathidara, Sebastian SchreiberIterative Co-Training