·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SpaceX officially prices shares at $135 in the largest IPO ever1h◆Our new community investments in Virginia support local jobs and expand energy affordability.1h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift1h◆Amazon’s data centers used 2.5 billion gallons of water last year4h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others5h◆Pool’s new app turns your screenshots into something useful6h◆DoorDash’s new AI chatbot lets you order with prompts and photos7h◆Anthropic apologizes for invisible Claude Fable guardrails9h◆Google DeepMind is worried about what happens when millions of agents start to interact10h◆Deezer launches an AI music detector for other streaming services13h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing17h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning17h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!17h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation17h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions17h◆The Impossibility of Eliciting Latent Knowledge17h◆Mapping Scientific Literature with Large Language Models and Topic Modeling17h◆Grounding Computer Use Agents on Human Demonstrations17h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models17h◆LSTM based IoT Device Identification17h◆SpaceX officially prices shares at $135 in the largest IPO ever1h◆Our new community investments in Virginia support local jobs and expand energy affordability.1h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift1h◆Amazon’s data centers used 2.5 billion gallons of water last year4h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others5h◆Pool’s new app turns your screenshots into something useful6h◆DoorDash’s new AI chatbot lets you order with prompts and photos7h◆Anthropic apologizes for invisible Claude Fable guardrails9h◆Google DeepMind is worried about what happens when millions of agents start to interact10h◆Deezer launches an AI music detector for other streaming services13h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing17h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning17h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!17h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation17h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions17h◆The Impossibility of Eliciting Latent Knowledge17h◆Mapping Scientific Literature with Large Language Models and Topic Modeling17h◆Grounding Computer Use Agents on Human Demonstrations17h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models17h◆LSTM based IoT Device Identification17h◆
News/ProcessThinker: Enhancing Multi-modal Large Language Models Reasoning via Rollout-based Process Reward
arxiv
PublishedJune 11, 2026 at 4:00 AM

ProcessThinker: Enhancing Multi-modal Large Language Models Reasoning via Rollout-based Process Reward

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

arXiv:2606.11209v1 Announce Type: cross Abstract: Visual question answering increasingly requires multi-step reasoning. Recent post-training with reinforcement learning under verifiable rewards (RLVR) and Group Relative Policy Optimization (GRPO) can improve multimodal reasoning, but most approaches

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 Reasoning17harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!17harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation17harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions17h
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