| 1 |
Tandem Reinforcement Learning with Verifiable Rewards |
提出串联强化学习以解决可验证奖励问题 |
reinforcement learning large language model chain-of-thought |
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| 2 |
MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy |
提出MER-R1框架以优化多模态情感识别 |
reinforcement learning multimodal |
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| 3 |
Optimizing Teacher-Student Partitioning for Scalable Knowledge Distillation on HPC Systems |
提出HPC感知的知识蒸馏优化方法以提升训练效率 |
teacher-student distillation |
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| 4 |
Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents |
提出GILP以减少LLM代理中的幻觉传播问题 |
world model world models |
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| 5 |
Understanding Rollout Error in Graph World Models |
提出错误感知图世界模型以解决长时间预测误差问题 |
world model world models |
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| 6 |
ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents |
提出ATOD以解决多轮自主智能体训练效率问题 |
reinforcement learning distillation |
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| 7 |
Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing |
提出SD-GPS框架以解决几何问题求解中的瓶颈 |
reinforcement learning multimodal |
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| 8 |
Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation |
提出Bifocal dLLMs以解决生成质量与推理效率的矛盾问题 |
Mamba SSM |
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