Summary of Empowering Large Language Models For Textual Data Augmentation, by Yichuan Li et al.
Empowering Large Language Models for Textual Data Augmentationby Yichuan Li, Kaize Ding, Jianling Wang, Kyumin…
Empowering Large Language Models for Textual Data Augmentationby Yichuan Li, Kaize Ding, Jianling Wang, Kyumin…
Boltzmann State-Dependent Rationalityby Osher LernerFirst submitted to arxiv on: 26 Apr 2024CategoriesMain: Artificial Intelligence (cs.AI)Secondary:…
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Contextual Categorization Enhancement through LLMs Latent-Spaceby Zineddine Bettouche, Anas Safi, Andreas FischerFirst submitted to arxiv…
Latent Modulated Function for Computational Optimal Continuous Image Representationby Zongyao He, Zhi JinFirst submitted to…
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Differenceby Zhihao Shuai, Yinan Chen,…
SIDEs: Separating Idealization from Deceptive Explanations in xAIby Emily SullivanFirst submitted to arxiv on: 25…
Evaluating Consistency and Reasoning Capabilities of Large Language Modelsby Yash Saxena, Sarthak Chopra, Arunendra Mani…
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samplesby Kuofeng Gao, Jindong Gu, Yang…
Neural Interaction Energy for Multi-Agent Trajectory Predictionby Kaixin Shen, Ruijie Quan, Linchao Zhu, Jun Xiao,…