·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
A Consensus-Based Framework for Relative Preference Evaluation of Large Language Models5h◆Probing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders5h◆Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA5h◆Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging5h◆Multi-Mask Diffusion Language Models for Few-Step Generation5h◆Solar Open 2 Technical Report5h◆The Geometry of Personality: Activation Steering with Jungian Cognitive Functions5h◆Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning5h◆H$^2$SD: Hybrid Hindsight Self-Distillation5h◆LunarFM: A Shared Multimodal Representation of the Moon's Surface5h◆Prior laundering: learned priors with inherited, undetectable overconfidence5h◆Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery5h◆Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting5h◆CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference5h◆Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support5h◆Meta-Learning Approaches for Speaker-Dependent Voice Fatigue Models5h◆A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data5h◆Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of User Dynamics5h◆Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO5h◆Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning5h◆A Consensus-Based Framework for Relative Preference Evaluation of Large Language Models5h◆Probing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders5h◆Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA5h◆Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging5h◆Multi-Mask Diffusion Language Models for Few-Step Generation5h◆Solar Open 2 Technical Report5h◆The Geometry of Personality: Activation Steering with Jungian Cognitive Functions5h◆Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning5h◆H$^2$SD: Hybrid Hindsight Self-Distillation5h◆LunarFM: A Shared Multimodal Representation of the Moon's Surface5h◆Prior laundering: learned priors with inherited, undetectable overconfidence5h◆Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery5h◆Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting5h◆CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference5h◆Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support5h◆Meta-Learning Approaches for Speaker-Dependent Voice Fatigue Models5h◆A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data5h◆Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of User Dynamics5h◆Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO5h◆Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning5h◆
News/Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
arxiv
PublishedJuly 27, 2026 at 4:00 AM
—neutral

Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning

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

arXiv:2511.02130v2 Announce Type: replace-cross Abstract: We propose Re-FORC, an adaptive reward prediction method that, given a query, enables prediction of the expected future rewards as a function of the number of future thinking tokens. Re-FORC trains a lightweight adapter on reasoning models, d

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
arxivA Consensus-Based Framework for Relative Preference Evaluation of Large Language Models5harxivProbing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders5harxivData Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA5harxivEnjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging5h
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