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🤖 AI·大模型 arXiv AI 2026-06-16

Tensor-Coord: Algebraic Decomposition of Joint Plan Tensors for Conflict-Free Multi-Agent LLM Planning

代数分解联合计划张量，实现多智能体LLM无冲突规划，开创性解决协同失败难题。

arXiv:2606.16478v1 Announce Type: new Abstract: Large language models (LLMs) remain limited in multi-agent planning because independently generated pl…

多智能体规划 llm 代数分解张量冲突消除

📝 文本处理 arXiv 机器学习 2026-06-03

Bayesian Tensor Decomposition with Diffusion Model Prior

贝叶斯张量分解结合扩散模型先验，为高维数据填补与推断提供新思路，方法创新且适用于多领域。

arXiv:2606.03212v1 Announce Type: new Abstract: Low-rank tensor decomposition (TD) is usually effective on clean, fully observed data, but it often de…

贝叶斯推断张量分解扩散模型机器学习数据填补

🤖 AI·大模型 arXiv AI 2026-06-03

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression

重新审视张量分解在LLM压缩中的核心作用，为后训练压缩提供新思路。

arXiv:2606.03465v1 Announce Type: cross Abstract: Post-training compression is essential for deploying large language models (LLMs) under tight resour…

张量分解大模型压缩后训练优化 llm 模型效率

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

Tensor-Coord: Algebraic Decomposition of Joint Plan Tensors for Conflict-Free Multi-Agent LLM Planning

Bayesian Tensor Decomposition with Diffusion Model Prior

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression

📅 日期