·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SpaceX officially prices shares at $135 in the largest IPO ever3h◆Our new community investments in Virginia support local jobs and expand energy affordability.3h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift3h◆Amazon’s data centers used 2.5 billion gallons of water last year6h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others7h◆Pool’s new app turns your screenshots into something useful8h◆DoorDash’s new AI chatbot lets you order with prompts and photos9h◆Anthropic apologizes for invisible Claude Fable guardrails11h◆Google DeepMind is worried about what happens when millions of agents start to interact12h◆Deezer launches an AI music detector for other streaming services15h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing19h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning19h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!19h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation19h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions19h◆The Impossibility of Eliciting Latent Knowledge19h◆Mapping Scientific Literature with Large Language Models and Topic Modeling19h◆Grounding Computer Use Agents on Human Demonstrations19h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models19h◆LSTM based IoT Device Identification19h◆SpaceX officially prices shares at $135 in the largest IPO ever3h◆Our new community investments in Virginia support local jobs and expand energy affordability.3h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift3h◆Amazon’s data centers used 2.5 billion gallons of water last year6h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others7h◆Pool’s new app turns your screenshots into something useful8h◆DoorDash’s new AI chatbot lets you order with prompts and photos9h◆Anthropic apologizes for invisible Claude Fable guardrails11h◆Google DeepMind is worried about what happens when millions of agents start to interact12h◆Deezer launches an AI music detector for other streaming services15h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing19h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning19h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!19h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation19h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions19h◆The Impossibility of Eliciting Latent Knowledge19h◆Mapping Scientific Literature with Large Language Models and Topic Modeling19h◆Grounding Computer Use Agents on Human Demonstrations19h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models19h◆LSTM based IoT Device Identification19h◆
News/CoVEBench: Can Video Editing Models Handle Complex Instructions?
arxiv
PublishedJune 11, 2026 at 4:00 AM
—neutral

CoVEBench: Can Video Editing Models Handle Complex Instructions?

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

arXiv:2606.08415v2 Announce Type: replace-cross Abstract: While recent text-guided video editing models excel at elementary tasks (e.g., style transfer, object insertion), real-world user requests are highly compositional. A single prompt often demands multiple coupled edits, such as modifying subje

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
arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning19harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!19harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation19harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions19h
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