Sparse-RL：通过稳定稀疏 Rollout 突破 LLM 强化学习的显存墙
论文标题：Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via S
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Qwen 发布 ArenaRL：解决开放域 Agent 的奖励建模难题
论文标题：ArenaRL: Scaling RL for Open-Ended Agents via Tournamentbased Relative
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NTU & 通义提出 AgentOCR：基于光学自压缩的智能体历史重构
论文标题：AgentOCR: Reimagining Agent History via Optical Self-Compression
论文链接
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DroPE：通过在预训练后移除位置编码扩展 LLM 上下文窗口
论文标题：Extending the Context of Pretrained LLMs by Dropping Their Positional E
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DeepSeek 新论文 Engram 深度解读
论文标题：Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Larg
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Anthropic 提出 EDL 来量化大模型的泛化能力
论文标题：Excess Description Length of Learning Generalizable Predictors
论文链接：h
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小米 MiMo-V2-Flash 技术报告：MoE 架构、混合注意力机制与多教师在线蒸馏
论文标题：MiMo-V2-Flash Technical Report
论文链接：https://arxiv.org/pdf/2601.02780
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NVIDIA 提出 GDPO：面向多奖励强化学习的解耦归一化策略
论文标题：GDPO: Group reward-Decoupled Normalization Policy Optimization for Mult
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DeepSeek-R1 v2 发布：新增技术细节与训练流程全解读
论文标题：DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforceme
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WAIT, WAIT, WAIT... WHY DO REASONING MODELS LOOP?
论文标题：WAIT, WAIT, WAIT... WHY DO REASONING MODELS LOOP?
论文链接：https://arxiv.
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