·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Beyond Accuracy: Measuring Logical Compliance of Predictive Models1h◆A Multi-Agent system for Multi-Objective constrained optimization1h◆Human-AI Agent Interaction in a Business Context1h◆Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement1h◆Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices1h◆Temporal Self-Imitation Learning1h◆Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services1h◆Deontic Policies for Runtime Governance of Agentic AI Systems1h◆Hidden Anchors in Multi-Agent LLM Deliberation1h◆LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data1h◆Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence1h◆Can In-Context Learning Support Intrinsic Curiosity?1h◆PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement1h◆CRAX: Fast Safe Reinforcement Learning Benchmarking1h◆DataMagic: Transforming Tabular Data into Data Insight Video1h◆One Probe Won't Catch Them All: Towards Targeted Deception Detection1h◆Too long; didn't solve1h◆MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning1h◆Granularity-Regulated Adaptive Computational Efficiency for Optimal Verification in Test-Time Scaling1h◆When Does Streaming Tool Use Help? Characterizing Tool-Intent Stabilization in Streaming Retrieval-Augmented Generation1h◆Beyond Accuracy: Measuring Logical Compliance of Predictive Models1h◆A Multi-Agent system for Multi-Objective constrained optimization1h◆Human-AI Agent Interaction in a Business Context1h◆Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement1h◆Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices1h◆Temporal Self-Imitation Learning1h◆Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services1h◆Deontic Policies for Runtime Governance of Agentic AI Systems1h◆Hidden Anchors in Multi-Agent LLM Deliberation1h◆LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data1h◆Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence1h◆Can In-Context Learning Support Intrinsic Curiosity?1h◆PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement1h◆CRAX: Fast Safe Reinforcement Learning Benchmarking1h◆DataMagic: Transforming Tabular Data into Data Insight Video1h◆One Probe Won't Catch Them All: Towards Targeted Deception Detection1h◆Too long; didn't solve1h◆MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning1h◆Granularity-Regulated Adaptive Computational Efficiency for Optimal Verification in Test-Time Scaling1h◆When Does Streaming Tool Use Help? Characterizing Tool-Intent Stabilization in Streaming Retrieval-Augmented Generation1h◆
News/Self-CTRL: Self-Consistency Training with Reinforcement Learning
arxiv
PublishedJune 18, 2026 at 4:00 AM
—neutral

Self-CTRL: Self-Consistency Training with Reinforcement Learning

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

arXiv:2606.18327v1 Announce Type: cross Abstract: Language models (LMs) that faithfully describe their own behavior can more easily be audited, understood, and trusted by users. This paper describes Self-Consistency Training with Reinforcement Learning (Self-CTRL), a method that optimizes for consis

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
arxivBeyond Accuracy: Measuring Logical Compliance of Predictive Models1harxivA Multi-Agent system for Multi-Objective constrained optimization1harxivHuman-AI Agent Interaction in a Business Context1harxivInterpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement1h
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