Summary of Quantization Of Large Language Models with An Overdetermined Basis, by Daniil Merkulov et al.
Quantization of Large Language Models with an Overdetermined Basisby Daniil Merkulov, Daria Cherniuk, Alexander Rudikov,…
Summary of Otter: Effortless Label Distribution Adaptation Of Zero-shot Models, by Changho Shin et al.
OTTER: Effortless Label Distribution Adaptation of Zero-shot Modelsby Changho Shin, Jitian Zhao, Sonia Cromp, Harit…
Summary of Adversarial Attacks and Dimensionality in Text Classifiers, by Nandish Chattopadhyay et al.
Adversarial Attacks and Dimensionality in Text Classifiersby Nandish Chattopadhyay, Atreya Goswami, Anupam ChattopadhyayFirst submitted to…
Summary of Enhancing Low-resource Llms Classification with Peft and Synthetic Data, by Parth Patwa et al.
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Databy Parth Patwa, Simone Filice, Zhiyu Chen,…
Summary of Shortcuts Arising From Contrast: Effective and Covert Clean-label Attacks in Prompt-based Learning, by Xiaopeng Xie et al.
Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learningby Xiaopeng Xie, Ming…
Summary of Dilm: Distilling Dataset Into Language Model For Text-level Dataset Distillation, by Aru Maekawa et al.
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillationby Aru Maekawa, Satoshi Kosugi, Kotaro…
Summary of Evaluating Large Language Models For Health-related Text Classification Tasks with Public Social Media Data, by Yuting Guo et al.
Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Databy Yuting…
Summary of Parameter-efficient Fine-tuning For Large Models: a Comprehensive Survey, by Zeyu Han et al.
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Surveyby Zeyu Han, Chao Gao, Jinyang Liu, Jeff…
Summary of A Modified Word Saliency-based Adversarial Attack on Text Classification Models, by Hetvi Waghela et al.
A Modified Word Saliency-Based Adversarial Attack on Text Classification Modelsby Hetvi Waghela, Sneha Rakshit, Jaydip…
Summary of Team Trifecta at Factify5wqa: Setting the Standard in Fact Verification with Fine-tuning, by Shang-hsuan Chiang et al.
Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuningby Shang-Hsuan Chiang, Ming-Chih…