Rutgers University

Headlines · 2

1. 7d
   TabClustPFN opens one-pass clustering for unlabeled tables

   Researchers from Renmin University, Rutgers University, the National University of Singapore and MBZUAI introduced TabClustPFN, an open-source pretrained network for clustering unlabeled tables. The model uses a single forward pass to predict sample assignments and candidate cluster counts, with probabilities indicating its confidence in each count; its code and pretrained weights are available. The paper reports strong ARI rankings on 44 real datasets and 96.8% coverage of the true cluster count by candidate sets built to 95% cumulative probability on 3,200 held-out synthetic datasets.

   机器之心 · 🔥 0
2. Oct 23
   OASIS adds null routing to attention residuals

   A team from Northwestern University, the Illinois Institute of Technology, Rutgers University, and other institutions proposed OASIS, whose token- and depth-level null options let Attention Residuals abstain from assigning full probability mass to real branches. According to Xinzhiyuan’s report on the paper, the method was accepted to NeurIPS 2026 and reduced average activation kurtosis by 95.90% versus Vanilla AttnResidual across LLaMA-3.2-1B, Qwen3-0.6B, and Phi-4. The reported experiments also found a 13.21-point Qwen3-0.6B W4A4 GSM8K Pass@1 advantage over Vanilla AttnResidual and recovered 77.3%–91.8% of selected RULER and LongBench performance losses at 12K-token contexts.

   新智元 · 🔥 0

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