3 citations · 8 across the 12 of their papers we have counts for
4 papers · 1 filter
TweakLLM: A Routing Architecture for Dynamic Tailoring of Cached Responses
Muhammad Taha Cheema, Abeer Aamir, Khawaja Gul Muhammad +3
Large Language Models (LLMs) process millions of queries daily, making efficient response caching a compelling optimization for reducing cost and latency. However, preserving relev…
Language Model-Driven Data Pruning Enables Efficient Active Learning
Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza
Active learning (AL) optimizes data labeling efficiency by selecting the most informative instances for annotation. A key component in this procedure is an acquisition function tha…
Representative Subset Selection for Efficient Fine-Tuning in Self-Supervised Speech Recognition
Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza
Self-supervised speech recognition models require considerable labeled training data for learning high-fidelity representations for Automatic Speech Recognition (ASR) which is comp…
FedPrune: Towards Inclusive Federated Learning
Muhammad Tahir Munir, Muhammad Mustansar Saeed, Mahad Ali +2
Federated learning (FL) is a distributed learning technique that trains a shared model over distributed data in a privacy-preserving manner. Unfortunately, FL's performance degrade…