·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning2h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks2h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts2h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning2h◆FrontierChallenge: Evaluating Scientific Workflow Completion2h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier2h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising2h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic2h◆Omni Interaction Agent Technical Report2h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification2h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability2h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization2h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding2h◆Tracing Computation Density in LLMs2h◆Cultural Binding Heads in Language Models2h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training2h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models2h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning2h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection2h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation2h◆Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning2h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks2h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts2h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning2h◆FrontierChallenge: Evaluating Scientific Workflow Completion2h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier2h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising2h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic2h◆Omni Interaction Agent Technical Report2h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification2h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability2h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization2h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding2h◆Tracing Computation Density in LLMs2h◆Cultural Binding Heads in Language Models2h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training2h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models2h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning2h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection2h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation2h◆
News/Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization
arxiv
PublishedSeptember 11, 2026 at 4:00 AM
—neutral

Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization

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

arXiv:2609.10410v1 Announce Type: cross Abstract: The growing complexity of content moderation policies presents a critical challenge for their consistent operationalization. While foundation models possess the basic capabilities needed to confront this challenge, whether they can reliably moderate

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
arxivBringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning2harxivSubagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks2harxivDistribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts2harxivIn RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning2h
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