arXiv Artificial Intelligence

LongCat-DeepResearch Technical Report

LongCat-DeepResearch Technical Report

Quick summary

arXiv:2609.36071v1 Announce Type: new Abstract: We present LongCat-DeepResearch, a deep research system that combines an enhanced LongCat model with a multi-agent workflow for producing comprehensive, evidence-grounded reports. The workflow separates global planning from detailed investigation and coordinates revision at the section level. Multiple planning agents first explore external sources and refine an actionable research plan, termed ResearchSpec. Research agents then investigate and draft their assigned sections in parallel, gathering additional evidence in separate contexts as their a

Key takeaways

  • arXiv:2609.36071v1 Announce Type: new Abstract: We present LongCat-DeepResearch, a deep research system that combines an enhanced LongCat model with a multi-agent workflow for producing comprehensive, evidence-grounded reports.
  • The workflow separates global planning from detailed investigation and coordinates revision at the section level.
  • Multiple planning agents first explore external sources and refine an actionable research plan, termed ResearchSpec.

Why it matters

“LongCat-DeepResearch Technical Report” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗