Saber Soleymani

Notes: Paper

Browse by type

September 2026

PaperarXivJaehyun Nam, Jinsung Yoon, Yanzhou Pan, Yubo Wang, Rui Meng, Parthasarathy Ranganathan, Tomas Pfister·

ScientistTwo: Autonomous AI for Scientific Discovery

This paper introduces ScientistTwo, a multi-agent framework intended to autonomously conduct scientific research from problem formulation through experimentation, ablation studies, and simulated peer review. It evaluates the system on tasks associated with ICLR, ICML, and NeurIPS papers, reporting automated generation of research papers and executable codebases.

#ai-agents #scientific-discovery #llm #ai-research

PaperPsychological BulletinSusan M. Barnett, Stephen J. Ceci·

When and Where Do We Apply What We Learn?

When and Where Do We Apply What We Learn?

This 2002 paper proposes a taxonomy for distinguishing near and far transfer of learning across knowledge domains, physical, temporal, functional, social, and modality contexts. It provides a framework for evaluating how learned skills, representations, and principles are applied in new situations.

My note

A paper published in 2002, and very relevant now! One research direction is to to apply and evaluate learning theories, developed years ago, on AI agents.

#learning #education #ai-agents #transfer-learning

paper2agent

paper2agent

A Nature paper associated with the AI Scientist research-automation project. From abstract: "We present The AI Scientist, which creates research ideas, writes code, runs experiments, plots and analyses data, writes the entire scientific manuscript, and performs its own peer review"

My note

The code is available here: https://github.com/SakanaAI/AI-Scientist

However, since it’s a bit old (compared to AI progress!), I guess it could be improved with claude code or codex.

#paper #agentic