·
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.4h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift4h◆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 guardrails12h◆Google DeepMind is worried about what happens when millions of agents start to interact13h◆Deezer launches an AI music detector for other streaming services16h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing20h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning20h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!20h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation20h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions20h◆The Impossibility of Eliciting Latent Knowledge20h◆Mapping Scientific Literature with Large Language Models and Topic Modeling20h◆Grounding Computer Use Agents on Human Demonstrations20h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models20h◆LSTM based IoT Device Identification20h◆SpaceX officially prices shares at $135 in the largest IPO ever3h◆Our new community investments in Virginia support local jobs and expand energy affordability.4h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift4h◆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 guardrails12h◆Google DeepMind is worried about what happens when millions of agents start to interact13h◆Deezer launches an AI music detector for other streaming services16h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing20h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning20h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!20h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation20h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions20h◆The Impossibility of Eliciting Latent Knowledge20h◆Mapping Scientific Literature with Large Language Models and Topic Modeling20h◆Grounding Computer Use Agents on Human Demonstrations20h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models20h◆LSTM based IoT Device Identification20h◆
News/FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
arxiv
PublishedApril 29, 2026 at 4:00 AM
—neutral

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment

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

arXiv:2604.23786v1 Announce Type: new Abstract: In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision-Language Models (VLMs), their deployment in clinica

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Mentioned models
02
  • 01
    Phi3.5-Vision
  • 02
    Qwen2-VL
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#fairness#explainability#multimodal#wellbeing

No replies yet. Be first.

Mentioned models
02
  • 01
    Phi3.5-Vision
  • 02
    Qwen2-VL
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#fairness#explainability#multimodal#wellbeing

Related coverage

More from ARXIV
arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning20harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!20harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation20harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions20h
The Bubble Brief
WEEKLY

Read fairness insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews