·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning1h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning1h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models1h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents1h◆Ekka: Automated Diagnosis of Silent Errors in LLM Inference1h◆Why Muon Outperforms Adam: A Curvature Perspective1h◆Archi: Agentic Operations at the CMS Experiment1h◆Abduction Prover in Isabelle/HOL1h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies1h◆Arithmetic Pedagogy for Language Models1h◆Constrained Adaptive Rejection Sampling1h◆Geometry-Aware Hallucination Detection in Large Language Models1h◆Do readers prefer AI-generated Italian short stories?1h◆How Far Do Auto-Interpretation Labels Generalize: A Controlled Study Across Languages, Scripts, and Rewordings1h◆Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management1h◆Tomography by Design: An Algebraic Approach to Low-Rank Quantum States1h◆A Unified Framework for Locality in Scalable MARL1h◆Not What, But How: A Framework for Auditing LLM Responses across Positioning, Generalization, Anthromorphism, and Maxims1h◆Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues1h◆Topics as Proxies for Sociodemographics: How Conversational Context Affects LLM Answers1h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning1h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning1h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models1h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents1h◆Ekka: Automated Diagnosis of Silent Errors in LLM Inference1h◆Why Muon Outperforms Adam: A Curvature Perspective1h◆Archi: Agentic Operations at the CMS Experiment1h◆Abduction Prover in Isabelle/HOL1h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies1h◆Arithmetic Pedagogy for Language Models1h◆Constrained Adaptive Rejection Sampling1h◆Geometry-Aware Hallucination Detection in Large Language Models1h◆Do readers prefer AI-generated Italian short stories?1h◆How Far Do Auto-Interpretation Labels Generalize: A Controlled Study Across Languages, Scripts, and Rewordings1h◆Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management1h◆Tomography by Design: An Algebraic Approach to Low-Rank Quantum States1h◆A Unified Framework for Locality in Scalable MARL1h◆Not What, But How: A Framework for Auditing LLM Responses across Positioning, Generalization, Anthromorphism, and Maxims1h◆Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues1h◆Topics as Proxies for Sociodemographics: How Conversational Context Affects LLM Answers1h◆
News/TCP-MCP: Landscape-Guided Co-Evolution of Prompts and Communication Topologies for Multi-Agent Systems
arxiv
PublishedMay 28, 2026 at 4:00 AM

TCP-MCP: Landscape-Guided Co-Evolution of Prompts and Communication Topologies for Multi-Agent Systems

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.27850v1 Announce Type: new Abstract: Effective multi-agent systems cannot be designed by selecting prompts or communication graphs in isolation. Agent behavior depends on the information an agent receives, while the usefulness of a communication edge depends on how the receiving agent int

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning1harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning1harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models1harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents1h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews