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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Qi-Xin Zhang

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Open access Sep 2026

TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-Tuning LLMs.

Zeroth-order optimization (ZO) has demonstrated remarkable promise in efficient fine-tuning tasks for Large Language Models (LLMs). In particular, recent advances incorporate the low-rankness of gradients, introducing low-rank ZO estimators to further reduce GPU memory consumption. However, most existing works focus so...

Y. Sun, Qi-Xin Zhang, Liang Ding et al. · 11 citations · ⚡1
Open access Aug 2026

RegimeFormer: A Large Protein Model of Global Perturbation Regimes

RegimeFormer is presented, a large protein perturbation model coupled to RegimeAtlas, which is constructed by harmonizing, representing and indexing 202,556,313 non-redundant protein sequences across the tree of life to establish a large-model framework for mapping, predicting and querying protein perturbation landscap...

Simkins Ma, Yinxiang Chai, Yi Wu et al. · 0 citations
Sep 2026

Efficient Communication With Skill Neurons in Decentralized Multi-Agent Reinforcement Learning.

CSN is proposed, which enables efficient Communication with Skill Neurons in decentralized MARL by exchanging the essential components of learned knowledge at neuron level by communicating only a sparse subset of model parameters and doing so intermittently.

Jiahua Lan, Li Shen, Ruijun Liu et al. · 0 citations

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