Summary of First Train to Generate, Then Generate to Train: Unitedsynt5 For Few-shot Nli, by Sourav Banerjee et al.
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLIby Sourav Banerjee, Anush…
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLIby Sourav Banerjee, Anush…
Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodologyby Minsang Kim, Seungjun…
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BhashaVerse : Translation Ecosystem for Indian Subcontinent Languagesby Vandan Mujadia, Dipti Misra SharmaFirst submitted to…
VideoLights: Feature Refinement and Cross-Task Alignment Transformer for Joint Video Highlight Detection and Moment Retrievalby…
LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documentsby Hitesh Laxmichand Patel, Amit Agarwal,…
ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?by Zheng Hui, Zhaoxiao Guo, Hang…
MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimationby Ansh Shah, K Madhava KrishnaFirst…