·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Run a vLLM Server on HF Jobs in One Command3h◆The White House is asking OpenAI to slow roll the release of its new model over safety concerns3h◆OpenAI will delay GPT-5.6 after Trump administration request5h◆Patronus AI lands $50M to build ‘digital worlds’ that stress-test AI agents6h◆Anthropic’s Claude is winning over paid consumers, a market owned by ChatGPT9h◆General Intuition’s $2.3B bet that video games can train AI agents for the real world10h◆Databricks’ former AI chief thinks he can cut AI’s power bill by 1,000x10h◆Which tokens does a hybrid model predict better?10h◆Our latest Google Finance upgrades, including a new app11h◆Netris raises $15M Series A from a16z to help AI neoclouds go live faster12h◆Repositioning retail for the AI era12h◆2 days left to save up to $190: Join 1,000+ founders and investors at TechCrunch Founder Summit13h◆Adobe acquires image and video enhancement tool maker Topaz Labs13h◆Amazon ups India bet with fresh $13B AI infrastructure investment15h◆Ford had to hire back former engineers to fix mistakes made by its automated systems15h◆Facebook’s Creator Studio has been revived as an AI companion app18h◆Can Aggregate Invariants Accelerate Continuous Subgraph Matching? Limits, Laws, and a Dynamic Spectral Index23h◆ScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Modeling23h◆Critique of Agent Model23h◆LemonHarness Technical Report23h◆Run a vLLM Server on HF Jobs in One Command3h◆The White House is asking OpenAI to slow roll the release of its new model over safety concerns3h◆OpenAI will delay GPT-5.6 after Trump administration request5h◆Patronus AI lands $50M to build ‘digital worlds’ that stress-test AI agents6h◆Anthropic’s Claude is winning over paid consumers, a market owned by ChatGPT9h◆General Intuition’s $2.3B bet that video games can train AI agents for the real world10h◆Databricks’ former AI chief thinks he can cut AI’s power bill by 1,000x10h◆Which tokens does a hybrid model predict better?10h◆Our latest Google Finance upgrades, including a new app11h◆Netris raises $15M Series A from a16z to help AI neoclouds go live faster12h◆Repositioning retail for the AI era12h◆2 days left to save up to $190: Join 1,000+ founders and investors at TechCrunch Founder Summit13h◆Adobe acquires image and video enhancement tool maker Topaz Labs13h◆Amazon ups India bet with fresh $13B AI infrastructure investment15h◆Ford had to hire back former engineers to fix mistakes made by its automated systems15h◆Facebook’s Creator Studio has been revived as an AI companion app18h◆Can Aggregate Invariants Accelerate Continuous Subgraph Matching? Limits, Laws, and a Dynamic Spectral Index23h◆ScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Modeling23h◆Critique of Agent Model23h◆LemonHarness Technical Report23h◆
News/ReM-MoA: Reasoning Memory Sustains Mixture-of-Agents Scaling
arxiv
PublishedJune 25, 2026 at 4:00 AM
—neutral

ReM-MoA: Reasoning Memory Sustains Mixture-of-Agents Scaling

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

arXiv:2606.24437v1 Announce Type: new Abstract: Mixture-of-Agents (MoA) architectures improve inference-time scaling by organizing multiple LLM agents into layered reasoning pipelines. However, existing MoA variants fail to sustain gains as depth increases, exhibiting degradation, early plateauing,

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
arxivCan Aggregate Invariants Accelerate Continuous Subgraph Matching? Limits, Laws, and a Dynamic Spectral Index23harxivScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Modeling23harxivCritique of Agent Model23harxivLemonHarness Technical Report23h
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