Paper page - Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling
… We release our German language models called Boldt , as well as our cleaned evaluation benchmarks to the research community. …
… We release our German language models called Boldt , as well as our cleaned evaluation benchmarks to the research community. …
… Each release is constructed from public workflow-demand signals, with ClawHub Top-500 skills used in the current release, and materialized as controlled tasks with fixed fixtures, services, workspaces, and graders. …
… We release our code, experiments, and python library at https://github.com/UT-SysML/liveaction . …
… Crucially, we leverage these fine-grained attribution signals to guide downstream prompt optimization , establishing a closed-loop system that automatically corrects faults and boosts end-task performance by up to 7.62%. Code will be released at https://github.com/zjunlp/MemTrace. …
… Our code has released at: https://github.com/LinesHogan/tLLM. …
… Code: https://github.com/A-EVO-Lab/a-evolve/tree/release/adaptive-auto-harness Get this paper in your agent: hf papers read 2606.01770 Don't have the latest CLI? curl -LsSf https://hf.co/cli/install.sh | bash No model linking this paper Cite arxiv.org/abs/2606.01770 in a model README.md to link it … …
… To provide learning signals for curation, we design composite rewards and train on grouped task streams based on skill-relevant task dependencies, where earlier trajectories update the SkillRepo, and later related tasks evaluate these updates. …
… We release FastKernels as a stepping stone toward kernel agents whose benchmark gains translate directly into production throughput improvements. …
… We release the full framework, evaluation suite, and benchmark data under an open-source license. …
… All datasets are publicly released to advance the field of marine artificial intelligence and empower domain-specific MLLMs. …
To show you the most relevant results, we’ve omitted some entries very similar to those already shown. Repeat the search with the omitted results included.