Key papers

• Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation (2025)
  Johnson Thomas et al.
  2.87
• Artificial Entanglement in the Fine-Tuning of Large Language Models (2026)
  Min Chen et al.
  1.94
• Crowded in B-Space: Calibrating Shared Directions for LoRA Merging (2026)
  Yixuan Tang et al.
  1.94
• CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation (2026)
  Fangtai Wu et al.
  1.94
• MAAT: Multi-phase Adapter-Aware Targeted Unlearning (2026)
  Suryash Yagnik et al.
  1.94
• Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution (2026)
  Liliana Hotsko et al.
  1.94
• Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training (2026)
  Michal Chudoba et al.
  1.94
• FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining (2026)
  Jinghong Lan et al.
  1.94
• PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft (2026)
  Yuchen Guo et al.
  1.89
• StyleAdaptedLM: Enhancing Instruction Following Models with Efficient Stylistic Transfer (2025)
  Pritika Ramu et al.
  1.33
• M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality Assessment (2025)
  Chuan Cui et al.
  1.28
• Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment (2025)
  Chenghao Fan et al.
  1.28
• VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning (2025)
  Ye Liu et al.
  1.28
• FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA (2025)
  Seanie Lee et al.
  1.28
• EfficientLLM: Efficiency in Large Language Models (2025)
  Zhengqing Yuan et al.
  1.28
• GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning (2025)
  Yeonjoon Jung 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
• DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space (2025)
  Wenkun He et al.
  1.28
• Improving Recursive Transformers with Mixture of LoRAs (2025)
  Mohammadmahdi Nouriborji et al.
  1.28
• LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM (2023)
  Wen-Yu Hua et al.
  —
• One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning (2023)
  Arnav Chavan et al.
  —
• Efficient RLHF: Reducing the Memory Usage of PPO (2023)
  Michael Santacroce et al.
  —
• ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning (2024)
  Weifeng Chen et al.
  —
• LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report (2024)
  Justin Zhao et al.
  —
• Aligning Diffusion Models with Noise-Conditioned Perception (2024)
  Alexander Gambashidze et al.
  —
• SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation (2024)
  Teng Hu et al.
  —
• In-Context LoRA for Diffusion Transformers (2024)
  Lianghua Huang et al.
  —
• Discriminative Fine-tuning of LVLMs (2024)
  Yassine Ouali et al.
  —
• Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition (2024)
  Zhisheng Zhong et al.
  —