Agentic Data Engineering for LLMs: System Design and a Controlled Empirical Study
cs.CL, cs.AI, cs.LG
Submitted: 2026-10-09
Updated: 2026-10-09
Code: https://github.com/datajuicer/agentic-data-engineering
Sources
- Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty
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- The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
- How Do Agents Fail on AutoResearch: End-to-End Diagnostic Evaluation on 100 Real-World Frontier Research Tasks
- Autodata: An agentic data scientist to create high quality synthetic data
- What is Missing from AI Post-Training AI: An Empirical Analysis
- RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement
- A-Evolve-Training: Autonomous Post-Training of a 30B Model
- Rethinking the Evaluation of Harness Evolution for Agents
- Making AI Scientists Auditable from Evidence to Claim
- RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
- From AI Assistant to AI Scientist: Autonomous Discovery of LLM-RL Algorithms with LLM Agents
- ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
- Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering
- AutoTrainess: Teaching Language Models to Improve Language Models Autonomously
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