Papers

• DeepLoop: Depth Scaling for Looped Transformers (2026)
  Shuzhen Li et al.
  10.06
• Loop the Loopies! (2026)
  Zitian Gao et al.
  9.34
• MILP-Evo: Closed-Loop Fully Automatic Design of MILP Solvers (2026)
  Jinbiao Nie et al.
  5.01
• Learning the Arabic Dialect Continuum as a Continuous Space: A Regression Approach to Speaker Origin Prediction (2026)
  Mohamed Aziz Khadraoui et al.
  5.01
• Multiplication Beyond Groups: Stratified Fourier Mechanisms in Transformer Circuits (2026)
  Zitong Andrew Chen et al.
  4.39
• Targeted Recovery of Weight-Space Mechanisms From Neural Networks (2026)
  Antoine Vigouroux et al.
  4.39
• Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory (2026)
  Oliver Zahn et al.
  3.51
• RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory (2026)
  Zahra Yousefijamarani et al.
  2.00
• Interior interpretability with attention rollout: contraction and propagation profiles in Transformers (2026)
  Umberto Biccari et al.
  2.00
• Learning to Decode: Graph Attention Network-Gated Recurrent Unit as Channel Decoder (2026)
  Lixin Qian et al.
  1.94