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#Reinforcement Learning

iGRPO: Self-Feedback-Driven LLM Reasoning

Ali Hatamizadeh, Shrimai Prabhumoye et al.Feb 9arXiv

This paper teaches a language model to improve its own math answers by first writing several drafts and then learning to beat its best draft.

#iGRPO#GRPO#Reinforcement Learning

LLM-in-Sandbox Elicits General Agentic Intelligence

Daixuan Cheng, Shaohan Huang et al.Jan 22arXiv

This paper shows that giving an AI a safe, tiny virtual computer (a sandbox) lets it solve many kinds of problems better, not just coding ones.

#LLM-in-Sandbox#Agentic Intelligence#Reinforcement Learning

Re-Align: Structured Reasoning-guided Alignment for In-Context Image Generation and Editing

Runze He, Yiji Cheng et al.Jan 8arXiv

Re-Align is a new way for AI to make and edit pictures by thinking in clear steps before drawing.

#In-Context Image Generation#Reference-based Image Editing#Structured Reasoning

Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling

Falcon LLM Team, Iheb Chaabane et al.Jan 5arXiv

Falcon-H1R is a small (7B) AI model that thinks really well without needing giant computers.

#Falcon-H1R#Hybrid Transformer-Mamba#Chain-of-Thought