Field notes
2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
Click the web, then scroll to zoom
Every note is in the list below. The web of topics draws here once the page has loaded.
9 of 2,343 notes match.
- Question answered
- Source note
- Topic
- Shared notes
Notes on self-evolving agents
9 notes
SkillZip: Evaluation-Free Skill Compression for Self-Evolving Agents by Discovering Reusable Structure
The paper presents SkillZip, an evaluation-free method for compressing skills used by self-evolving agents. SkillZip aims to make skill compression more efficient by finding the shortest faithful structural explanation…
SkillZip: Evaluation-Free Skill Compression for Self-Evolving Agents by Discovering Reusable Structure
The paper presents SkillZip, an evaluation-free method for compressing skills by finding their shortest faithful structural explanations. It aims to reduce the repetition and expense of injecting and maintaining skills…
Rethinking Self-Evolving Agents: Do We Still Need Prescribed Optimization Pipelines?
A study compared an open-ended optimization (OEO) method with two prescribed approaches for self-evolving agents. The OEO method uses a frontier model as the optimizer, while the prescribed methods have fixed pipelines…
FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows
Researchers have created a new benchmark for self-evolving agents in financial workflows called FinEvo-Bench. The benchmark includes 120 real-life tasks across six domains, with each task having a specific professional…
FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows
Researchers introduce a new benchmark called FinEvo-Bench for testing self-evolving agents in various financial workflows. The benchmark consists of 120 real-world tasks across six domains, with each task having a…
FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows
The study introduces FinEvo-Bench, a benchmark for evaluating the performance of self-evolving agents in various financial tasks. The benchmark consists of 120 real-case-grounded tasks across six financial domains…
From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents
Researchers propose a framework called EvoSOP to help large language model (LLM) agents optimize their toolset by synthesizing atomic actions into reusable Standard Operating Procedures (SOPs). This approach aims to…
The Blind Curator: How a Biased Judge Silently Disables Skill Retirement in Self-Evolving Agents
The researchers explore the impact of biased judges in self-evolving agents, focusing on skill retirement, a mechanism that helps maintain the quality of an agent's knowledge base by retiring poorly performing skills…
ManimAgent: Self-Evolving Multimodal Agents for Visual Education
The research presents ManimAgent, a self-evolving multimodal agent that learns from its failures and successes in generating Python code using the Manim library to render mathematical animations. The agent stores these…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
