arXiv AI
AppliedScientist: Automated Scientific Revision Through Iterative AI Reviewing
Read the original on arXiv AI →The Flow has not summarised this story yet — read it at arXiv AI.
Related stories
arXiv Computation and Language
Sep 16
PaperDoctor: Evidence-Grounded and Actionable Feedback for Scientific Papers in Progress
PaperDoctor is an agent framework that provides evidence‑grounded, actionable feedback for scientific papers before submission. It evaluates writing, layout, references, code, theory, prior work, and experiments through a three‑layer hierarchical system, linking each critique to specific evidence and revision suggestions. The system selectively rebuilds and reruns experiments to uncover reproducibility gaps, and an interactive interface lets authors explore findings tied to their manuscript.
arXiv AI
Jun 29
Towards Automating Scientific Review with Google's Paper Assistant Tool
arXiv:2606. 28277v1 Announce Type: cross Abstract: Artificial intelligence is driving a revolution in scientific discovery, accelerating everything from hypothesis generation to mathematical theorem proving.
arXiv AI
Jun 10
Gaming AI-Assisted Peer Reviews Poses New Risks to the Scientific Community
arXiv:2606. 10159v1 Announce Type: cross Abstract: AI is increasingly used to support scientific peer review, from manuscript screening, reviewer assistance to editorial triage.
arXiv AI
Jul 1
One Reflection Is Not Enough: Self-Correcting Autonomous Research via Multi-Hypothesis Failure Attribution
arXiv:2606. 31478v1 Announce Type: new Abstract: Autonomous research agents can now draft hypotheses, write code, run experiments, and produce papers, but they remain brittle when experiments fail.
arXiv AI
4d ago
Letting AI Formulate the Research Question: Autonomous Research Agents
The paper reports on an autonomous research system that allows an AI agent to formulate its own research question, screen for failure modes, and obtain critiques from a separate model before writing a paper. Over 13 development runs, minor changes in the initial instruction document caused significant shifts in the topics explored, ultimately leading to a new technology applied to a societal problem. Five fully autonomous runs produced reproducible papers that were reviewed by external AI reviewers at workshop level, with all data and code released for replication.
arXiv AI
Jun 16
Towards End-to-End Automation of AI Research
arXiv:2606. 15497v1 Announce Type: new Abstract: The automation of science is a long-standing ambition in the field of AI.