arxiv
PublishedMay 14, 2026 at 4:00 AM
LIFT: Last-Mile Fine-Tuning for Table Explicitation
Publisher summary· verbatim
arXiv:2605.13424v1 Announce Type: new Abstract: We propose last-mile fine-tuning, or Lift, a pipeline in which a pre-trained large language model extracts an initial table from unstructured clipboard text, and a fine-tuned small language model (1B-24B parameters SLM) repairs errors in the extracted
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
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 Classification7hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗