A survey of large language models
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
Bloom: A 176b-parameter open-access multilingual language model
Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …
a few demonstrations or natural language instructions. While these capabilities have led to …
Multilingual large language model: A survey of resources, taxonomy and frontiers
Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Investigating the translation performance of a large multilingual language model: the case of bloom
The NLP community recently saw the release of a new large open-access multilingual
language model, BLOOM (BigScience et al., 2022) covering 46 languages. We focus on …
language model, BLOOM (BigScience et al., 2022) covering 46 languages. We focus on …
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
The advancement of large language models (LLMs) has enhanced the ability to generalize
across a wide range of unseen natural language processing (NLP) tasks through instruction …
across a wide range of unseen natural language processing (NLP) tasks through instruction …
A deep learning-based intelligent quality detection model for machine translation
M Chen - IEEE Access, 2023 - ieeexplore.ieee.org
With more and more active international connections, the complex scenes-aware machine
translation has been a novel concern in the area of natural language processing. Although …
translation has been a novel concern in the area of natural language processing. Although …
Disco: A large scale human annotated corpus for disfluency correction in indo-european languages
Disfluency correction (DC) is the process of removing disfluent elements like fillers,
repetitions and corrections from spoken utterances to create readable and interpretable text …
repetitions and corrections from spoken utterances to create readable and interpretable text …
Autocorrect in the process of translation--multi-task learning improves dialogue machine translation
Automatic translation of dialogue texts is a much needed demand in many real life
scenarios. However, the currently existing neural machine translation delivers unsatisfying …
scenarios. However, the currently existing neural machine translation delivers unsatisfying …
Bloom: A 176b-parameter open-access multilingual language model
Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …
a few demonstrations or natural language instructions. While these capabilities have led to …
The university of edinburgh-uppsala university's submission to the wmt 2020 chat translation task
This paper describes the joint submission of the University of Edinburgh and Uppsala
University to the WMT'20 chat translation task for both language directions (English↔ …
University to the WMT'20 chat translation task for both language directions (English↔ …