Summary of With Greater Text Comes Greater Necessity: Inference-time Training Helps Long Text Generation, by Y. Wang et al.
With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generationby Y. Wang, D.…
Summary of Surgical-dino: Adapter Learning Of Foundation Models For Depth Estimation in Endoscopic Surgery, by Beilei Cui et al.
Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgeryby Beilei Cui, Mobarakol…
Summary of Astraios: Parameter-efficient Instruction Tuning Code Large Language Models, by Terry Yue Zhuo et al.
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Modelsby Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai,…
Summary of Dual-space Augmented Intrinsic-lora For Wind Turbine Segmentation, by Shubh Singhal et al.
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentationby Shubh Singhal, Raül Pérez-Gonzalo, Andreas Espersen, Antonio AgudoFirst…
Summary of Dota: Weight-decomposed Tensor Adaptation For Large Language Models, by Xiaolin Hu et al.
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Modelsby Xiaolin Hu, Xiang Cheng, Peiyu Liu, Wei…
Summary of Optimizing Large Language Models with An Enhanced Lora Fine-tuning Algorithm For Efficiency and Robustness in Nlp Tasks, by Jiacheng Hu et al.
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in…
Summary of Label Privacy in Split Learning For Large Models with Parameter-efficient Training, by Philip Zmushko et al.
Label Privacy in Split Learning for Large Models with Parameter-Efficient Trainingby Philip Zmushko, Marat Mansurov,…
Summary of Autorank: Mcda Based Rank Personalization For Lora-enabled Distributed Learning, by Shuaijun Chen et al.
AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learningby Shuaijun Chen, Omid Tavallaie, Niousha Nazemi,…
Summary of Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models, by Elvis Nunez et al.
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Modelsby Elvis Nunez, Luca…
Summary of The Open Source Advantage in Large Language Models (llms), by Jiya Manchanda et al.
The Open Source Advantage in Large Language Models (LLMs)by Jiya Manchanda, Laura Boettcher, Matheus Westphalen,…