2 papers
cs.CV2025
Visual-Word Tokenizer: Beyond Fixed Sets of Tokens in Vision Transformers
Leonidas Gee, Wing Yan Li, Viktoriia Sharmanska +1
The cost of deploying vision transformers increasingly represents a barrier to wider industrial adoption. Existing compression techniques require additional end-to-end fine-tuning…
cs.CL2025
Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency
Leonidas Gee, Milan Gritta, Gerasimos Lampouras +1
Code Language Models have been trained to generate accurate solutions, typically with no regard for runtime. On the other hand, previous works that explored execution optimisation…