Efficient methods for natural language processing: A survey
Recent work in natural language processing (NLP) has yielded appealing results from
scaling model parameters and training data; however, using only scale to improve …
scaling model parameters and training data; however, using only scale to improve …
Foundation models for weather and climate data understanding: A comprehensive survey
As artificial intelligence (AI) continues to rapidly evolve, the realm of Earth and atmospheric
sciences is increasingly adopting data-driven models, powered by progressive …
sciences is increasingly adopting data-driven models, powered by progressive …
Climatebert: A pretrained language model for climate-related text
Over the recent years, large pretrained language models (LM) have revolutionized the field
of natural language processing (NLP). However, while pretraining on general language has …
of natural language processing (NLP). However, while pretraining on general language has …
Where and how machine learning plays a role in climate finance research
The financial sector, by mobilizing capital, is fundamental to adapt and mitigate the impact of
climate change in the economy. This has led to the emergence of a new research field …
climate change in the economy. This has led to the emergence of a new research field …
Data-centric green artificial intelligence: A survey
S Salehi, A Schmeink - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
With the exponential growth of computational power and the availability of large-scale
datasets in recent years, remarkable advancements have been made in the field of artificial …
datasets in recent years, remarkable advancements have been made in the field of artificial …
Enhancing large language models with climate resources
Large language models (LLMs) have significantly transformed the landscape of artificial
intelligence by demonstrating their ability in generating human-like text across diverse …
intelligence by demonstrating their ability in generating human-like text across diverse …
Efficiency is not enough: A critical perspective of environmentally sustainable AI
Artificial Intelligence (AI) is currently spearheaded by machine learning (ML) methods such
as deep learning (DL) which have accelerated progress on many tasks thought to be out of …
as deep learning (DL) which have accelerated progress on many tasks thought to be out of …
Must NLP be Extractive?
S Bird - 62nd Annual Meeting of the Association for …, 2024 - researchers.cdu.edu.au
How do we roll out language technologies across a world with 7,000 languages? In one
story, we scale the successes of NLP further into'low-resource'languages, doing ever more …
story, we scale the successes of NLP further into'low-resource'languages, doing ever more …
[HTML][HTML] How cheap talk in climate disclosures relates to climate initiatives, corporate emissions, and reputation risk
Navigating the complex landscape of corporate climate disclosures and their real impacts is
crucial for managing climate-related financial risks. However, current disclosures oftentimes …
crucial for managing climate-related financial risks. However, current disclosures oftentimes …
Evaluating text classification: A benchmark study
This paper presents an impartial and extensive benchmark for text classification involving
five different text classification tasks, 20 datasets, 11 different model architectures, and …
five different text classification tasks, 20 datasets, 11 different model architectures, and …