Paper

cAPM: Continual AI-Assisted Pace-Mapping with Active Learning

Unreadunread

AI summary

arXiv:2606. 19373v1 Announce Type: new Abstract: Ventricular tachycardia is a life-threatening rhythm disorder and a major cause of sudden cardiac death.

Reading status

Priority

About this paper

Authors: Dylan O'Hara, Pradeep Bajracharya, Casey Meisenzahl, Karli Gillette, Anton J. Prassl, Gernot Plank, Saman Nazarian, Roderick Tung, John L Sapp, Linwei Wang
Released: 2026-06-19 (20d ago)
Topic: Related to current project
Relation to my work: Read next because cAPM: Continual AI-Assisted Pace-Mapping with Active Learning overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: strong, eval, rate, compare, without, test, model. Source: arxiv cs.LG (Machine Learning).
arXiv: 2606.19373

Ask Claude about this paper

Posts a comment with @claude so the runner spins up a Claude Code session scoped to cAPM: Continual AI-Assisted Pace-Mapping with Active Learning. Replies appear in the conversation below.

Comments

No comments yet.

Related records

No links yet.