·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
GAGPO: Generalized Advantage Grouped Policy Optimization2h◆UP-NRPA: User Portrait based Nested Rollout Policy Adaptation for Planning with Large Language Models in Goal-oriented Dialogue Systems2h◆Orchestra-o1: Omnimodal Agent Orchestration2h◆Hybrid Open-Ended Tri-Evolution Makes Better Deep Researcher2h◆WorkBench Revisited: Workplace Agents Two Years On2h◆Refusal Beyond a Single Direction: A Preliminary Comparison of Diff-in-Means and INLP2h◆YeasierAgent: Agentic Social Sandbox as a Canvas for Intent-Driven Creation of Platform-Agnostic Symbiotic Agent-Native Applications2h◆MA-ProofBench: A Two-Tiered Evaluation of LLMs for Theorem Proving in Mathematical Analysis2h◆A Multi-Agent AI System for Automated High School Transcript Processing: Collaborative Document Analysis at Scale2h◆Closing the Reflection Gap: A Free Calibration Bonus for Agentic RL2h◆SkillAudit: Ground-Truth-Free Skill Evolution via Paired Trajectory Auditing2h◆CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning2h◆Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows2h◆An Agentic Retrieval Framework for Autonomous Context-Aware Data Quality Assessment2h◆Aligning Quantum Operators with Large Language Models2h◆Safety-Contract Graph Multi-Agent Reinforcement Learning for Autonomous Network Security Response2h◆When Plausible Is Not Realistic: Evaluating Human Mobility in LLM-Based Urban Simulation2h◆Rethinking Backdoor Adversarial Unlearning through the Lens of Catastrophic Forgetting in Continual Learning2h◆Clay-CNN Hybrids: Leveraging Geo-Foundational Models as Auxiliary Context for Landslide Detection2h◆FEMOT: Multi-Object Tracking using Frame and Event Cameras2h◆GAGPO: Generalized Advantage Grouped Policy Optimization2h◆UP-NRPA: User Portrait based Nested Rollout Policy Adaptation for Planning with Large Language Models in Goal-oriented Dialogue Systems2h◆Orchestra-o1: Omnimodal Agent Orchestration2h◆Hybrid Open-Ended Tri-Evolution Makes Better Deep Researcher2h◆WorkBench Revisited: Workplace Agents Two Years On2h◆Refusal Beyond a Single Direction: A Preliminary Comparison of Diff-in-Means and INLP2h◆YeasierAgent: Agentic Social Sandbox as a Canvas for Intent-Driven Creation of Platform-Agnostic Symbiotic Agent-Native Applications2h◆MA-ProofBench: A Two-Tiered Evaluation of LLMs for Theorem Proving in Mathematical Analysis2h◆A Multi-Agent AI System for Automated High School Transcript Processing: Collaborative Document Analysis at Scale2h◆Closing the Reflection Gap: A Free Calibration Bonus for Agentic RL2h◆SkillAudit: Ground-Truth-Free Skill Evolution via Paired Trajectory Auditing2h◆CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning2h◆Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows2h◆An Agentic Retrieval Framework for Autonomous Context-Aware Data Quality Assessment2h◆Aligning Quantum Operators with Large Language Models2h◆Safety-Contract Graph Multi-Agent Reinforcement Learning for Autonomous Network Security Response2h◆When Plausible Is Not Realistic: Evaluating Human Mobility in LLM-Based Urban Simulation2h◆Rethinking Backdoor Adversarial Unlearning through the Lens of Catastrophic Forgetting in Continual Learning2h◆Clay-CNN Hybrids: Leveraging Geo-Foundational Models as Auxiliary Context for Landslide Detection2h◆FEMOT: Multi-Object Tracking using Frame and Event Cameras2h◆
News/Orchestra-o1: Omnimodal Agent Orchestration
arxiv
PublishedJune 15, 2026 at 4:00 AM
—neutral

Orchestra-o1: Omnimodal Agent Orchestration

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

arXiv:2606.13707v1 Announce Type: new Abstract: The recent success of agent swarms has shifted the paradigm of large language model (LLM)-based agents from single-agent workflows to multi-agent systems, highlighting the importance of agent orchestration for task decomposition and collaboration. Howe

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
arxivGAGPO: Generalized Advantage Grouped Policy Optimization2harxivUP-NRPA: User Portrait based Nested Rollout Policy Adaptation for Planning with Large Language Models in Goal-oriented Dialogue Systems2harxivHybrid Open-Ended Tri-Evolution Makes Better Deep Researcher2harxivWorkBench Revisited: Workplace Agents Two Years On2h
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