Summary of Winning Amazon Kdd Cup’24, by Chris Deotte et al.
Winning Amazon KDD Cup’24by Chris Deotte, Ivan Sorokin, Ahmet Erdem, Benedikt Schifferer, Gilberto Titericz Jr,…
Summary of Ba-lora: Bias-alleviating Low-rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models, by Yupeng Chang et al.
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Modelsby Yupeng Chang, Yi…
Summary of Abstractive Summarization From Audio Transcription, by Ilia Derkach
Abstractive summarization from Audio Transcriptionby Ilia DerkachFirst submitted to arxiv on: 30 Jul 2024CategoriesMain: Computation…
Summary of Leveraging Parameter Efficient Training Methods For Low Resource Text Classification: a Case Study in Marathi, by Pranita Deshmukh et al.
Leveraging Parameter Efficient Training Methods for Low Resource Text Classification: A Case Study in Marathiby…
Summary of Pre-trained Language Models Improve the Few-shot Prompt Ability Of Decision Transformer, by Yu Yang et al.
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformerby Yu Yang, Pan XuFirst…
Summary of Tensor Train Low-rank Approximation (tt-lora): Democratizing Ai with Accelerated Llms, by Afia Anjum et al.
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMsby Afia Anjum, Maksim E. Eren,…
Summary of A Federated Learning-friendly Approach For Parameter-efficient Fine-tuning Of Sam in 3d Segmentation, by Mothilal Asokan et al.
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentationby Mothilal Asokan, Joseph…
Summary of Cellm: An Efficient Communication in Large Language Models Training For Federated Learning, by Raja Vavekanand et al.
CELLM: An Efficient Communication in Large Language Models Training for Federated Learningby Raja Vavekanand, Kira…
Summary of Parameter-efficient Fine-tuning Via Circular Convolution, by Aochuan Chen et al.
Parameter-Efficient Fine-Tuning via Circular Convolutionby Aochuan Chen, Jiashun Cheng, Zijing Liu, Ziqi Gao, Fugee Tsung,…
Summary of Stay Tuned: An Empirical Study Of the Impact Of Hyperparameters on Llm Tuning in Real-world Applications, by Alon Halfon et al.
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World…