·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation1h◆Counterfactual Model Testing Under Distribution Shift1h◆Centralized Critics for N-Agent Ad Hoc Teamwork1h◆Where and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning1h◆Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction1h◆Numina Fuse: Interactive Autoformalization in Lean 41h◆On the Limits of Sparse Linear Model with Shuffled Differential Privacy1h◆Video World Models Need Predictable Latents1h◆AutoPRL: Automated Path Representation Learning via a Learnable View Generator1h◆Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models1h◆Latent Goal Prediction from Language for Model-Based Planning1h◆Rectified Language Flow1h◆Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment1h◆Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila1h◆Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights1h◆Intervention-Certified Amplification: A Validity Gate for $\sigma$-Weighted Post-Training1h◆Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks1h◆DoubleFree:Exploiting Exploration History for Rollout-Free Multi-Task LLMs Training1h◆Unbiased Alignment for Large Language Models with Noisy Preferences1h◆ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration1h◆MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation1h◆Counterfactual Model Testing Under Distribution Shift1h◆Centralized Critics for N-Agent Ad Hoc Teamwork1h◆Where and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning1h◆Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction1h◆Numina Fuse: Interactive Autoformalization in Lean 41h◆On the Limits of Sparse Linear Model with Shuffled Differential Privacy1h◆Video World Models Need Predictable Latents1h◆AutoPRL: Automated Path Representation Learning via a Learnable View Generator1h◆Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models1h◆Latent Goal Prediction from Language for Model-Based Planning1h◆Rectified Language Flow1h◆Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment1h◆Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila1h◆Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights1h◆Intervention-Certified Amplification: A Validity Gate for $\sigma$-Weighted Post-Training1h◆Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks1h◆DoubleFree:Exploiting Exploration History for Rollout-Free Multi-Task LLMs Training1h◆Unbiased Alignment for Large Language Models with Noisy Preferences1h◆ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration1h◆
News/Coherence Maximization Improves Pluralistic Alignment
arxiv
PublishedJune 3, 2026 at 4:00 AM
▲bullish

Coherence Maximization Improves Pluralistic Alignment

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

arXiv:2606.03110v1 Announce Type: new Abstract: Aligning AI systems with diverse human values requires value specifications grounded in concrete examples, but generating such examples without extensive human supervision remains an open challenge. We investigate what makes these examples effective, u

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

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

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Mentioned models
01
  • 01
    Internal Coherence Maximization (ICM)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#value-alignment#unsupervised-learning#language-models#diversity

No replies yet. Be first.

Mentioned models
01
  • 01
    Internal Coherence Maximization (ICM)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#value-alignment#unsupervised-learning#language-models#diversity

Related coverage

More from ARXIV
arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation1harxivCounterfactual Model Testing Under Distribution Shift1harxivCentralized Critics for N-Agent Ad Hoc Teamwork1harxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning1h
The Bubble Brief
MON · WED · FRI

Read value-alignment insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

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

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews