Papers

• Fisher Rank Inflation: A Spectral Signature of Memorization under Label Noise (2026)
  Satwik Bathula et al.
  4.39
• Artificial Entanglement in the Fine-Tuning of Large Language Models (2026)
  Min Chen et al.
  1.94
• ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning (2026)
  Ruizhong Qiu et al.
  1.94
• MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning (2026)
  Ionut-Vlad Modoranu et al.
  1.89
• Temporally Extended Mixture-of-Experts Models (2026)
  Zeyu Shen et al.
  1.83
• Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers (2025)
  Markus J. Buehler
  1.28
• GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning (2025)
  Yeonjoon Jung et al.
  1.28
• What Makes for Text to 360-degree Panorama Generation with Stable Diffusion? (2025)
  Jinhong Ni et al.
  1.28
• LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning (2025)
  Zihang Liu et al.
  1.28
• SingLoRA: Low Rank Adaptation Using a Single Matrix (2025)
  David Bensaïd et al.
  1.28
• T-LoRA: Single Image Diffusion Model Customization Without Overfitting (2025)
  Vera Soboleva et al.
  1.28
• Stack More Layers Differently: High-Rank Training Through Low-Rank Updates (2023)
  Vladislav Lialin et al.
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• Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems (2023)
  Huan Gui et al.
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• LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters (2024)
  Xinyu Zhou et al.
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• Heavy Labels Out! Dataset Distillation with Label Space Lightening (2024)
  Ruonan Yu et al.
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• Memory-Efficient LLM Training with Online Subspace Descent (2024)
  Kaizhao Liang et al.
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• LinFusion: 1 GPU, 1 Minute, 16K Image (2024)
  Songhua Liu et al.
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• SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation (2024)
  Teng Hu et al.
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