1 code implementation • WMT (EMNLP) 2020 • Farhan Dhanani, Muhammad Rafi
With the introduction of Recurrent Attention, it allows the decoder to focus effectively on order of the source sequence at different decoding steps.
no code implementations • 11 Mar 2024 • Behraj Khan, Tahir Syed, Zeshan Khan, Muhammad Rafi
We propose a solution in which we have summarize the EULA and classify the EULA as "Benign" or "Malicious".
no code implementations • 5 Jan 2023 • Michael Cahyadi, Muhammad Rafi, William Shan, Jurike Moniaga, Henry Lucky
We qualitatively examine the accuracy and fidelity between two diffusion-based image generation systems, namely DALL-E 2 and Luna, which have massive differences in training datasets, algorithmic approaches, prompt resolvement, and output upscaling.
1 code implementation • 20 Nov 2022 • Farhan Dhanani, Muhammad Rafi
And then perform one-to-many pairing between them based on similarities in their generated responses, where more than one fine-tuned model can pair with a base model but not vice-versa.
no code implementations • 15 Apr 2022 • Murad Popattia, Muhammad Rafi, Rizwan Qureshi, Shah Nawaz
A pairwise ranking objective is used for training this embedding space which allows similar images, topics and captions in the shared semantic space to maintain a partial order in the visual-semantic hierarchy and hence, helps the model to produce more visually accurate captions.
no code implementations • 21 Jan 2020 • Awais Ahmed, Sufian Hameed, Muhammad Rafi, Qublai Khan Ali Mirza
Further, we study and compare the performance factor of our proposed framework on three different testbeds including normal commodity hardware, low-end system, and high-end system.