Summary of Gamified Crowd-sourcing Of High-quality Data For Visual Fine-tuning, by Shashank Yadav et al.
Gamified crowd-sourcing of high-quality data for visual fine-tuningby Shashank Yadav, Rohan Tomar, Garvit Jain, Chirag…
Gamified crowd-sourcing of high-quality data for visual fine-tuningby Shashank Yadav, Rohan Tomar, Garvit Jain, Chirag…
LoRTA: Low Rank Tensor Adaptation of Large Language Modelsby Ignacio Hounie, Charilaos Kanatsoulis, Arnuv Tandon,…
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitionsby Jun Rao, Xuebo Liu,…
EAGLE: Egocentric AGgregated Language-video Engineby Jing Bi, Yunlong Tang, Luchuan Song, Ali Vosoughi, Nguyen Nguyen,…
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrievalby Qiuhai Zeng, Zimeng Qiu, Dae…
OmniBench: Towards The Future of Universal Omni-Language Modelsby Yizhi Li, Ge Zhang, Yinghao Ma, Ruibin…
Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Scienceby Taihang…
KodeXv0.1: A Family of State-of-the-Art Financial Large Language Modelsby Neel Rajani, Lilli Kiessling, Aleksandr Ogaltsov,…
LLM for Everyone: Representing the Underrepresented in Large Language Modelsby Samuel CahyawijayaFirst submitted to arxiv…
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Modelsby Rui Ye, Rui…