3 citations · 4 across the 5 of their papers we have counts for
5 papers
ZClip: Adaptive Spike Mitigation for LLM Pre-Training
Abhay Kumar, Louis Owen, Nilabhra Roy Chowdhury +1
Training large language models (LLMs) presents numerous challenges, including gradient instability and loss spikes. These phenomena can lead to catastrophic divergence, requiring c…
A Refined Analysis of Massive Activations in LLMs
Louis Owen, Nilabhra Roy Chowdhury, Abhay Kumar +1
Motivated in part by their relevance for low-precision training and quantization, massive activations in large language models (LLMs) have recently emerged as a topic of interest.…
Variance Control via Weight Rescaling in LLM Pre-training
Louis Owen, Abhay Kumar, Nilabhra Roy Chowdhury +1
The outcome of Large Language Model (LLM) pre-training strongly depends on weight initialization and variance control strategies. Although the importance of initial variance contro…
Komodo: A Linguistic Expedition into Indonesia's Regional Languages
Louis Owen, Vishesh Tripathi, Abhay Kumar +1
The recent breakthroughs in Large Language Models (LLMs) have mostly focused on languages with easily available and sufficient resources, such as English. However, there remains a…
BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection
Louis Owen, Biddwan Ahmed, Abhay Kumar
This paper introduces a novel method leveraging bi-encoder-based detectors along with a comprehensive study comparing different out-of-distribution (OOD) detection methods in NLP u…