85 citations · 87 across the 4 of their papers we have counts for
4 papers
Evaluating the Retrieval Component in LLM-Based Question Answering Systems
Ashkan Alinejad, Krtin Kumar, Ali Vahdat
Question answering systems (QA) utilizing Large Language Models (LLMs) heavily depend on the retrieval component to provide them with domain-specific information and reduce the ris…
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables
Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh +2
Embedding matrices are key components in neural natural language processing (NLP) models that are responsible to provide numerical representations of input tokens.\footnote{In this…
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition
Vasileios Lioutas, Ahmad Rashid, Krtin Kumar +2
Word-embeddings are vital components of Natural Language Processing (NLP) models and have been extensively explored. However, they consume a lot of memory which poses a challenge f…
Laser damage attack against optical attenuators in quantum key distribution
Anqi Huang, Ruoping Li, Vladimir Egorov +3
Many quantum key distribution systems employ a laser followed by an optical attenuator to prepare weak coherent states in the source. Their mean photon number must be pre-calibrate…