追踪开源聊天LLM十二个版本的信任度变化，揭示模型行为随时间漂移的潜在风险
arXiv:2607.02587v1 Announce Type: cross Abstract: Model cards quote trust-benchmark scores without recording when they were measured, and the same num…
零开销检查点热替换技术，让大模型训练可无缝应对软硬件故障，大幅提升训练韧性
arXiv:2607.01646v1 Announce Type: new Abstract: State-of-the-art large language model (LLM) training takes tens of thousands of graphics processing un…
一招解决Program-of-Thought推理中的无效动作问题，通过检查点修复实现可恢复的智能规划。
arXiv:2605.30052v1 Announce Type: cross Abstract: One-shot Program-of-Thought (PoT) emits a Python program that prints a primitive-action plan; a sing…
论文提出DeltaBox，实现有状态AI智能体的毫秒级沙箱检查点与回滚，突破系统性能瓶颈。
arXiv:2605.22781v1 Announce Type: cross Abstract: LLM-powered AI agents require high-frequency state exploration (e.g., test-time tree search and rein…
提出基于代理评估与稳定性感知排名的多模态大模型检查点选择新方法，提升选点鲁棒性与模型性能。
arXiv:2605.18852v1 Announce Type: new Abstract: Checkpoint selection for multimodal large language models (MLLMs) presents significant challenges when…