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Found 5 papers, 4 papers with code
A Survey on Recent Advances in Conversational Data Generation
Recent advancements in conversational systems have significantly enhanced human-machine interactions across various domains.
Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
The two prominent approaches to enhance the performance of LLMs on low-frequent topics are: Retrieval Augmented Generation (RAG) and fine-tuning (FT) over synthetic data.
Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired people
Visual Inertial Odometry (VIO) algorithms estimate the accurate camera trajectory by using camera and Inertial Measurement Unit (IMU) sensors.
Data Augmentation for Conversational AI
This tutorial provides a comprehensive and up-to-date overview of DA approaches in the context of conversational systems.
Persian Natural Language Inference: A Meta-learning approach
We also examine the effect of finding appropriate initial parameters using zero-shot evaluation and CCA similarity.
