Generative Large Language Models (LLMs) have achieved remarkable advancements in various NLP tasks. In this work, our aim is to explore the multilingual capabilities of large language models by using machine translation as a task involving English and 22 Indian languages. We first investigate the translation capabilities of raw large language models, followed by exploring the in-context learning capabilities of the same raw models. We fine-tune these large language models using parameter efficient fine-tuning methods such as LoRA and additionally with full fine-tuning. Through our study, we have identified the best performing large language model for the translation task involving LLMs, which is based on LLaMA. Our results demonstrate sig...
Consistency is a key requirement of highquality translation. It is especially important to adhere t...
Large language models (LLMs) are a special class of pretrained language models obtained by scaling m...
Statistical machine translation (SMT) was the state-of-the-art in machine translation (MT) research ...
Large Language Models (LLMs), trained predominantly on extensive English data, often exhibit limitat...
Large-scale language models (LLMs) has shown remarkable capability in various of Natural Language Pr...
The large language model (LLM) has garnered significant attention due to its in-context learning mec...
Large Language Models (LLMs) have demonstrated impressive performance on Natural Language Processing...
Large language models (LLMs) implicitly learn to perform a range of language tasks, including machin...
In this paper we share findings from our effort to build practical machine translation (MT) systems ...
Recent benchmarks for Large Language Models (LLMs) have mostly focused on application-driven tasks s...
We propose the on-the-fly ensembling of a machine translation model with an LLM, prompted on the sam...
Language models (LMs) are an essential element in statistical approaches to natural language process...
Substantial progress has been made in the field of natural language processing (NLP) due to the adve...
Open-sourced large language models (LLMs) have demonstrated remarkable efficacy in various tasks wit...
Language modeling has witnessed remarkable advancements in recent years, with Large Language Models ...
Consistency is a key requirement of highquality translation. It is especially important to adhere t...
Large language models (LLMs) are a special class of pretrained language models obtained by scaling m...
Statistical machine translation (SMT) was the state-of-the-art in machine translation (MT) research ...
Large Language Models (LLMs), trained predominantly on extensive English data, often exhibit limitat...
Large-scale language models (LLMs) has shown remarkable capability in various of Natural Language Pr...
The large language model (LLM) has garnered significant attention due to its in-context learning mec...
Large Language Models (LLMs) have demonstrated impressive performance on Natural Language Processing...
Large language models (LLMs) implicitly learn to perform a range of language tasks, including machin...
In this paper we share findings from our effort to build practical machine translation (MT) systems ...
Recent benchmarks for Large Language Models (LLMs) have mostly focused on application-driven tasks s...
We propose the on-the-fly ensembling of a machine translation model with an LLM, prompted on the sam...
Language models (LMs) are an essential element in statistical approaches to natural language process...
Substantial progress has been made in the field of natural language processing (NLP) due to the adve...
Open-sourced large language models (LLMs) have demonstrated remarkable efficacy in various tasks wit...
Language modeling has witnessed remarkable advancements in recent years, with Large Language Models ...
Consistency is a key requirement of highquality translation. It is especially important to adhere t...
Large language models (LLMs) are a special class of pretrained language models obtained by scaling m...
Statistical machine translation (SMT) was the state-of-the-art in machine translation (MT) research ...