no code implementations • 1 Mar 2024 • Bhavani A Madhabhavi, Gangadhar Karevvanavar, Rajshekhar V Bhat, Nikolaos Pappas
We obtain $(\bar{c}, \bar{s})$ pairs for neural language and first-order Markov chain-based small language models (SLM) for prediction, using both a threshold policy that transmits a word if its cosine similarity with that predicted/completed at the destination is below a threshold, and a periodic policy, which transmits words after a specific interval and predicts/completes the words in between, at the destination.
no code implementations • 11 Aug 2023 • Akshay Kiran Jose, Gangadhar Karevvanavar, Rajshekhar V Bhat
The approach gives a sub-optimal solution and is able to pack smaller objects within a larger object with competitive performance with respect to classical methods.