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News/AutoTrainess: Teaching Language Models to Improve Language Models Autonomously
arxiv
PublishedJuly 1, 2026 at 4:00 AM
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AutoTrainess: Teaching Language Models to Improve Language Models Autonomously

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2606.31551v1 Announce Type: new Abstract: Training language models (LMs) remains a highly human-intensive process, even as frontier language model agents become increasingly capable at software engineering and other long-horizon tasks. A central challenge is that autonomous post-training is no

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    GPT-5.4 (Codex)
  • 02
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#autonomous training#language models#benchmark#software engineering

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Mentioned models
02
  • 01
    GPT-5.4 (Codex)
  • 02
    DeepSeek-V4-Flash (OpenCode)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#autonomous training#language models#benchmark#software engineering

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arxivRCPN: towards robust pseudo-labels in unsupervised CLIP adaptation via consistent prototypes and neighborhoods7harxivCan Graph Learning Learn Circuits?7harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery7harxivTrajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification7h
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