Marktechpost

JULY 15, 2023

This year, a paper presented at the Association for Computational Linguistics (ACL) meeting delves into the importance of model scale for in-context learning and examines the interpretability of LLM architectures. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples.

Large Language Models 98

Large Language Models AI Researcher AI Research Computational Linguistics 98

Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient management and recovery.

Computational Linguistics 120

Computational Linguistics Large Language Models LLM BERT 120

Allen AI

JULY 8, 2023

This is because toxicity researchers’ positionalities lead them to make design choices that make toxicity datasets, and thus Perspective API, to have positionalities that are Western-centric. Despite the prevalence and risks of design biases, they are hard to quantify because researcher, system, and dataset positionality is often unobserved.

Computational Linguistics 52

Computational Linguistics NLP Explainability AI Research 52

Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 70% of research papers published in a computational linguistics conference only evaluated English.[ Association for Computational Linguistics. Brown, Tom, et al.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

Sebastian Ruder

NOVEMBER 14, 2022

Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. At the same time, a wave of NLP startups has started to put this technology to practical use. Data is based on: ml_nlp_paper_data by Marek Rei.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Topbots

JANUARY 30, 2023

Making the transition from classical language generation to recognising and responding to specific communicative intents is an important step to achieve better acceptance of user-facing NLP systems, especially in Conversational AI. Association for Computational Linguistics. [2] Association for Computational Linguistics.

Large Language Models 52

Large Language Models Computational Linguistics LLM Natural Language Processing 52

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. Games are fun; but this is only part of the reason of why AI researchers are obsessed with them.

Neural Network 52

Neural Network Data Science AI AI 52