11 citations · 11 across the 3 of their papers we have counts for
3 papers
Achieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning
Shaurya Sharthak, Vinayak Pahalwan, Adithya Kamath +1
Pretrained language models (LLMs) are often constrained by their fixed tokenization schemes, leading to inefficiencies and performance limitations, particularly for multilingual or…
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation
Artur Kiulian, Anton Polishko, Mykola Khandoga +4
In the rapidly advancing field of AI and NLP, generative large language models (LLMs) stand at the forefront of innovation, showcasing unparalleled abilities in text understanding…
Spatial Computing: Concept, Applications, Challenges and Future Directions
Gokul Yenduri, Ramalingam M, Praveen Kumar Reddy Maddikunta +8
Spatial computing is a technological advancement that facilitates the seamless integration of devices into the physical environment, resulting in a more natural and intuitive digit…