| 1 |
Tree-Aware Posterior Distillation for Long-Horizon Agentic Reinforcement Learning |
提出TreeOPSD以解决长时间交互中的信用分配问题 |
reinforcement learning distillation large language model |
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| 2 |
Learning to Be Guided: Shaping Latent Geometry for Classifier-Free Guidance |
提出原型正则化以优化无分类器引导生成性能 |
representation learning classifier-free guidance |
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| 3 |
A Stronger Teacher Within: Strengthening MoE Models via On-Policy Bidirectional Distillation |
提出MoEvolve框架以增强MoE模型的性能 |
reinforcement learning distillation privileged information |
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| 4 |
LED: Improving Masked Diffusion Language Models by Lookahead Editing |
提出Lookahead Editing以优化掩码扩散语言模型 |
reinforcement learning MDM large language model |
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| 5 |
RECREG: Recovery-based Shielding for Regular Safety Properties in Reinforcement Learning |
提出RecReg框架以解决强化学习中的安全性问题 |
reinforcement learning model-based RL |
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| 6 |
CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning |
提出CocoRNA以解决RNA序列设计的复杂性问题 |
reinforcement learning |
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| 7 |
JAXtari: High-Throughput and Easy-to-Modify Arcade Learning Environment |
提出JAXtari以解决ALE环境修改与训练效率问题 |
reinforcement learning deep reinforcement learning PPO |
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| 8 |
Predictable Scaling: Efficient Model Exploration via Scaling-Law Prediction |
提出可预测缩放框架以高效探索模型变更 |
MAE foundation model |
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| 9 |
Grounded Credit Assignment in Reinforcement Learning for Multi-Turn Search Agents |
提出基于证据的信用分配方法以解决多轮搜索代理的奖励问题 |
reinforcement learning |
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| 10 |
Local proxies for memory-efficient training |
提出局部代理网络以解决内存高效训练问题 |
distillation large language model |
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| 11 |
Path to Prior-Data Fitted Relational Models via Learned Latent Multi-table Representations |
提出图基关系模型的合成预训练方法以提升泛化能力 |
curriculum learning foundation model |
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| 12 |
GR-OPD: Group-Relative Sequence Credit for On-Policy Distillation |
提出GR-OPD以解决现有OPD方法的反馈信用分配问题 |
distillation |
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| 13 |
GRAFT-EEG: Gauge-Aware Physical Field Transport for Cross-Dataset Motor-Imagery EEG |
提出GRAFT-EEG以解决跨数据集运动想象EEG解码问题 |
SSM state space model |
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