186 citations · 187 across the 11 of their papers we have counts for
4 papers · 1 filter
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
Razvan-Gabriel Dumitru, Paul-Ioan Clotan, Vikas Yadav +2
This paper introduces a novel model compression approach through dynamic layer-specific pruning in Large Language Models (LLMs), enhancing the traditional methodology established b…
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary +3
We present a simple meta quantization approach that quantizes different layers of a large language model (LLM) at different bit levels, and is independent of the underlying quantiz…
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition
Haris Riaz, Razvan-Gabriel Dumitru, Mihai Surdeanu
In this work, we revisit the problem of semi-supervised named entity recognition (NER) focusing on extremely light supervision, consisting of a lexicon containing only 10 examples…
Enhancing Transformer RNNs with Multiple Temporal Perspectives
Razvan-Gabriel Dumitru, Darius Peteleaza, Mihai Surdeanu
We introduce the concept of multiple temporal perspectives, a novel approach applicable to Recurrent Neural Network (RNN) architectures for enhancing their understanding of sequent…