Summary of Itbls: a Dataset Of Interactive Conversations Over Tabular Information, by Anirudh Sundar et al.
iTBLS: A Dataset of Interactive Conversations Over Tabular Informationby Anirudh Sundar, Christopher Richardson, William Gay,…
Summary of How to Build the Best Medical Image Segmentation Algorithm Using Foundation Models: a Comprehensive Empirical Study with Segment Anything Model, by Hanxue Gu and Haoyu Dong and Jichen Yang and Maciej A. Mazurowski
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical…
Summary of Lora Dropout As a Sparsity Regularizer For Overfitting Control, by Yang Lin et al.
LoRA Dropout as a Sparsity Regularizer for Overfitting Controlby Yang Lin, Xinyu Ma, Xu Chu,…
Summary of Navigating the Landscape Of Large Language Models: a Comprehensive Review and Analysis Of Paradigms and Fine-tuning Strategies, by Benjue Weng
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and…
Summary of Politune: Analyzing the Impact Of Data Selection and Fine-tuning on Economic and Political Biases in Large Language Models, by Ahmed Agiza et al.
PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in…
Summary of Lloco: Learning Long Contexts Offline, by Sijun Tan et al.
LLoCO: Learning Long Contexts Offlineby Sijun Tan, Xiuyu Li, Shishir Patil, Ziyang Wu, Tianjun Zhang,…
Summary of Any2point: Empowering Any-modality Large Models For Efficient 3d Understanding, by Yiwen Tang et al.
Any2Point: Empowering Any-modality Large Models for Efficient 3D Understandingby Yiwen Tang, Ray Zhang, Jiaming Liu,…
Summary of Certified Peftsmoothing: Parameter-efficient Fine-tuning with Randomized Smoothing, by Chengyan Fu and Wenjie Wang
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothingby Chengyan Fu, Wenjie WangFirst submitted to arxiv on:…
Summary of Dense Training, Sparse Inference: Rethinking Training Of Mixture-of-experts Language Models, by Bowen Pan et al.
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Modelsby Bowen Pan, Yikang Shen, Haokun…
Summary of Plug and Play with Prompts: a Prompt Tuning Approach For Controlling Text Generation, by Rohan Deepak Ajwani et al.
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generationby Rohan Deepak…