·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
The Meta hack shows there’s more to AI security than Mythos4h◆Mira Murati steps back into the spotlight, carefully8h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning9h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning9h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models9h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents9h◆Why Muon Outperforms Adam: A Curvature Perspective9h◆Vision Hopfield Memory Networks9h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies9h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment9h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations9h◆q0: Primitives for Hyper-Epoch Pretraining9h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery9h◆Test-Time Training for Visual Foresight Vision-Language-Action Models9h◆Curvature-aware dynamic precision approach for physics-informed neural networks9h◆Scaffold, Not Vocabulary? A Controlled, Two-Tier, Pre-Registered Study of a Popperian Code-Generation Skill9h◆Beyond Rewards in Reinforcement Learning for Cyber Defence9h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach9h◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems9h◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation9h◆The Meta hack shows there’s more to AI security than Mythos4h◆Mira Murati steps back into the spotlight, carefully8h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning9h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning9h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models9h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents9h◆Why Muon Outperforms Adam: A Curvature Perspective9h◆Vision Hopfield Memory Networks9h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies9h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment9h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations9h◆q0: Primitives for Hyper-Epoch Pretraining9h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery9h◆Test-Time Training for Visual Foresight Vision-Language-Action Models9h◆Curvature-aware dynamic precision approach for physics-informed neural networks9h◆Scaffold, Not Vocabulary? A Controlled, Two-Tier, Pre-Registered Study of a Popperian Code-Generation Skill9h◆Beyond Rewards in Reinforcement Learning for Cyber Defence9h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach9h◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems9h◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation9h◆
News/Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill
arxiv
PublishedJune 3, 2026 at 4:00 AM

Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill

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

arXiv:2606.03980v1 Announce Type: cross Abstract: Reward models (RMs) provide critical feedback signals for LLM post-training, notably in reinforced fine-tuning (RFT) and reinforcement learning (RL) pipelines. However, current reward evaluation relies on heterogeneous criteria such as rule-based ver

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
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning9harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning9harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models9harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents9h
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