Summary of Retrieval & Fine-tuning For In-context Tabular Models, by Valentin Thomas et al.
Retrieval & Fine-Tuning for In-Context Tabular Modelsby Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan,…
Retrieval & Fine-Tuning for In-Context Tabular Modelsby Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan,…
MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Predictionby Fanmeng Wang, Wentao Guo, Minjie…
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictionsby Jingtan Wang, Xiaoqiang…
LinkGPT: Teaching Large Language Models To Predict Missing Linksby Zhongmou He, Jing Zhu, Shengyi Qian,…
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuningby Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit…
Time Sensitive Knowledge Editing through Efficient Finetuningby Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin,…
Online Joint Fine-tuning of Multi-Agent Flowsby Paul MineiroFirst submitted to arxiv on: 6 Jun 2024CategoriesMain:…
Proofread: Fixes All Errors with One Tapby Renjie Liu, Yanxiang Zhang, Yun Zhu, Haicheng Sun,…
PaCE: Parsimonious Concept Engineering for Large Language Modelsby Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan…
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptationby Can Yaras, Peng Wang, Laura Balzano,…