57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026The Hong Kong University of ScieLingnanPruning & sparsityBlock-OBS-GS: Exact Per-Block Joint Brain Surgery with Gauss–Seidel Refinement for LLM PruningYuwen Huang, Xiang PanSydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
69%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026U Birmingham & Southern UnivSouthern University of Science aU MacauCity University of Hong KongThe University of TokyoInstruction tuningFine-tuning Does Not Reach All: Uneven Safety and Knowledge Dynamics in Language ModelsZiwei Wang, Xinwei Guo, Jiaxin Zhang, Guanhua Chen and 6 moreSydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet3/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 3 of 20 reviewers recommend itlenient 1/5medium 1/10strict 1/5
78%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026City University of Hong KongImperial College LondonCity University of Hong KongU OxfordAstraZenecaTime series foundation modelsExtending Pretrained 10-Second ECG Foundation Models to Longer HorizonsA parameter-efficient plugin extends frozen 10-second ECG foundation models to long, variable-length recordings via compatible long-sequence processing and semantically informed temporal modeling, outperforming sliding-window and pooling baselines.Wei Tang, Jinpei Han, Kangning Cui, Mattia Carletti and 9 moreSydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet11/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 11 of 20 reviewers recommend itlenient 5/5medium 6/10strict 0/5