Reinforcement Fine-Tuning for Conversational Reasoning with the OpenAI API

Introducing Sakana AI’s Recursive Self-Improvement (RSI) Lab

Reinforcement Learning to Train Large Language Models to Explain Human Decisions

Ouro: Looped Language Models That Build Reasoning into Pre-Training Through Latent Space Iteration

Researchers introduce Ouro, a family of pre-trained Looped Language Models (LoopLM) that build reasoning capabilities directly into the pre-

DialogLab: A Research Prototype for Authoring and Testing Human-AI Group Conversations

DialogLab is a research prototype tool that provides a unified interface for designing and testing human-AI group conversations. It allows d

RICP: A Teacher-Student Framework for Retrieved In-Context Principles from Mistakes in LLMs

This paper introduces Retrieved In-Context Principles (RICP), a novel teacher-student framework for improving Large Language Models (LLMs) t

Thinking Fast, Slow, and Artificial: How AI Is Reshaping Human Reasoning