agent/papers/items/2026-2603-01712-ft-dojo-towards-autonomous-llm-fine-tuning-with-language-agents.md

Paper: FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents

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type: paper title: "FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents" authors: Qizheng Li, Yifei Zhang, Xiao Yang, Xu Yang, Zhuo Wang, Weiqing Liu, Jiang Bian year: 2026 venue: arXiv url: https://arxiv.org/abs/2603.01712 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-03-02 updated_at: 2026-05-20 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• planning methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.LG related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: language-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, coding-agent, planning
• arXiv categories: cs.AI, cs.LG
• collection score: 15

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2603.01712