works on

From the 2 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.CL2026

SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions

Yasheng Sun, Zezi Zeng, Yifan Yang +4

The paper introduces SciDiagramEdit, a system that learns to edit scientific figures based on natural-language revision instructions by training on before-and-after figure pairs fr…

cs.AI2026

Self-Improvements in Modern Agentic Systems: A Survey

Zhe Ren, Yimeng Chen, Dandan Guo +9

The paper surveys modern self-improving autonomous agents, presenting a system-level framework that combines foundation models with prompts, memory, tools, and control logic, and c…

cs.LG2026

Neural Computers

Mingchen Zhuge, Changsheng Zhao, Haozhe Liu +16

We propose a new frontier: Neural Computers (NCs) that unify computation, memory, and I/O of traditional computers in a learned runtime state. Our long-term goal is the Completely…

cs.SE2026

Planning to Explore: Curiosity-Driven Planning for LLM Test Generation

Alfonso Amayuelas, Firas Laakom, Piotr Piękos +5

The use of LLMs for code generation has naturally extended to code testing and evaluation. As codebases grow in size and complexity, so does the need for automated test generation.…

cs.AI2025

Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine

Wenyi Wang, Piotr Piękos, Li Nanbo +5

Recent studies operationalize self-improvement through coding agents that edit their own codebases. They grow a tree of self-modifications through expansion strategies that favor h…

cs.AI2025

FACTS: A Factored State-Space Framework For World Modelling

Li Nanbo, Firas Laakom, Yucheng Xu +2

World modelling is essential for understanding and predicting the dynamics of complex systems by learning both spatial and temporal dependencies. However, current frameworks, such…