Marktechpost

JANUARY 30, 2024

Language Agents represent a transformative advancement in computational linguistics. In conclusion, the Uncertainty-Aware Language Agent methodology marks a significant leap forward in computational linguistics. They leverage large language models (LLMs) to interact with and process information from the external world.

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Marktechpost

JANUARY 15, 2024

The success of AlignInstruct in enhancing machine translation for low-resource languages is a testament to the importance of innovative approaches in computational linguistics. The results showed that AlignInstruct significantly outperformed baseline models, especially when combined with MTInstruct.

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Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 128

Marktechpost

MARCH 10, 2024

In the ever-evolving field of computational linguistics, the quest for models that can seamlessly generate human-like text has led researchers to explore innovative techniques beyond traditional frameworks. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

Computational Linguistics 122

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Marktechpost

FEBRUARY 2, 2024

In computational linguistics and artificial intelligence, researchers continually strive to optimize the performance of large language models (LLMs). For instance, models like GPT-3, with 175 billion parameters, require substantial GPU memory, highlighting a need for more memory-efficient and high-performance computational methods.

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Large Language Models LLM Computational Linguistics Artificial Intelligence 132

Marktechpost

APRIL 20, 2024

Exploring the synergy between reinforcement learning (RL) and large language models (LLMs) reveals a vibrant area of computational linguistics. These findings underscore the potential of DPO to simplify and improve the training processes of generative AI models. Check out the Paper. Also, don’t forget to follow us on Twitter.

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Machine Learning Computational Linguistics Large Language Models LLM 135

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.

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Computational Linguistics Large Language Models LLM BERT 117

Marktechpost

APRIL 29, 2024

In computational linguistics, much research focuses on how language models handle and interpret extensive textual data. Don’t Forget to join our 40k+ ML SubReddit The post This AI Paper Introduces a Novel Artificial Intelligence Approach in Precision Text Retrieval Using Retrieval Heads appeared first on MarkTechPost.

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Artificial Intelligence Artificial Intelligence Computational Linguistics Data Extraction 111

Marktechpost

MAY 13, 2024

Tokenization is essential in computational linguistics, particularly in the training and functionality of large language models (LLMs). This process involves dissecting text into manageable pieces or tokens, which is foundational for model training and operations. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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Automation Computational Linguistics Large Language Models Natural Language Processing 106

Towards AI

DECEMBER 28, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Davide Nardini Originally published on Towards AI. It combines statistics and mathematics with computational linguistics. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI.

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Natural Language Processing Python Computational Linguistics NLP 105

Marktechpost

MAY 14, 2024

Research in computational linguistics continues to explore how large language models (LLMs) can be adapted to integrate new knowledge without compromising the integrity of existing information. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Categorization 103

Categorization Computational Linguistics Large Language Models Machine Learning 103

Allen AI

JULY 7, 2023

In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1115–1127, Seattle, United States. Association for Computational Linguistics. Association for Computational Linguistics.

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Marktechpost

MAY 11, 2024

With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules.

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Large Language Models NLP Data Scarcity Computational Linguistics 126

Towards AI

JULY 8, 2024

Author(s): Ghadah AlHabib Originally published on Towards AI. They serve as the building blocks for more complex models and algorithms in the field of computational linguistics. The 2-gram model with more text, we can provide Example Output 2: bigram model, also known as the basics of computational linguistics.

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Computational Linguistics Natural Language Processing Auto-complete Deep Learning 108

Marktechpost

JANUARY 22, 2024

As technology advances, solutions like Marlin play an important role in pushing the boundaries of what’s possible in computational linguistics. Its innovative techniques and optimizations make it a standout performer, capable of handling large-scale language understanding tasks with remarkable speed and reliability.

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LLM Computational Linguistics Large Language Models Artificial Intelligence 129

Flipboard

SEPTEMBER 7, 2023

Asya Demidova for Vox The dehumanizing philosophy of AI is built on a hatred of our animal nature. AI threatens the quality that many of us believe has made humans unique on this planet: intelligence. Why should we hope that AI, particularly if it’s built on our own values, treats us any differently?

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AI AI Computational Linguistics Chatbots 181

Marktechpost

MAY 12, 2024

Quantization, a method integral to computational linguistics, is essential for managing the vast computational demands of deploying large language models (LLMs). It simplifies data, thereby facilitating quicker computations and more efficient model performance.

Large Language Models 114

Large Language Models Computational Linguistics Algorithm LLM 114

Marktechpost

MARCH 12, 2024

The advent of large language models (LLMs) has ushered in a new era in computational linguistics, significantly extending the frontier beyond traditional natural language processing to encompass a broad spectrum of general tasks. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

Chatbots 126

Chatbots Computational Linguistics Large Language Models LLM 126

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.

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Marktechpost

AUGUST 12, 2023

This tool addresses the inadvertent biases in Text-to-Image (T2I) generative AI systems. This innovative tool was presented at the 2023 Association for Computational Linguistics (ACL) conference. A research team from UC Santa Cruz has introduced a novel tool called the Text to Image Association Test.

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Ehud Reiter

SEPTEMBER 8, 2024

Session 2: Requirements ( PDF ) The second session was about requirements for NLG systems, focusing on NLG quality criteria, human-AI workflows, and how to acquire requirements. Computational Linguistics. ( [link] ) S Ballocu et al (2024). Common Flaws in Running Human Evaluation Experiments in NLP.

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NLP LLM Computational Linguistics Prompt Engineer 139

NLP People

MAY 18, 2018

Their projects focus on the development of comprehensive models of language use uniting cognitive, computational, and social perspectives. IDeal’s research contributes to various areas of natural language processing and AI, including machine translation, text generation, speech synthesis and multimodal interfaces.

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NLP Computational Linguistics Data Mining Natural Language Processing 52

Explosion

JUNE 11, 2024

Get ready for an enlightening journey into the world of AI and natural language understanding with Dr. Matthew Honnibal, Founder of Explosion.ai in computational linguistics from the Univ. In our latest podcast episode, Dr. Honnibal, armed with a Ph.D.

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NYU Center for Data Science

JULY 24, 2024

Prior to joining NYU, Ravfogel gained valuable industry experience through internships at Google Research Israel and the Allen Institute for AI. Ravfogel holds a BSc in both Computer Science and Chemistry from Bar-Ilan University, as well as an MSc in Computer Science from the same institution. By Stephen Thomas

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Natural Language Processing Computational Linguistics Neural Network Machine Learning 67

NLP People

APRIL 10, 2019

Switzerland is no exception: with its unique linguistique diversity, its central location within Europe and as host to some of the world’s best universities and top AI companies, the country offers an ideal environment for the field to thrive. Gallen The University of St.

NLP 52

NLP Computational Linguistics Natural Language Processing Data Mining 52

NYU Center for Data Science

JANUARY 24, 2025

This fundamental challenge in AI reliability motivated CDS faculty member Tim G. Rudner to develop new approaches for helping AI systems estimate their own uncertainty. The paper will be presented at the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL2025).

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Computational Linguistics Large Language Models Neural Network Computer Vision 59

ODSC - Open Data Science

APRIL 3, 2023

She is currently the president of the Association of Computational Linguistics. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Euro) in 2021. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning.

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Neural Network Natural Language Processing NLP Computational Linguistics 117

AssemblyAI

SEPTEMBER 18, 2023

Few technological advancements have captured the imagination, curiosity, and application of experts and businesses quite like artificial intelligence (AI). However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Want to dive deeper?

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Marktechpost

AUGUST 15, 2024

Given the intricate nature of metaphors and their reliance on context and background knowledge, MCI presents a unique challenge in computational linguistics. Accurately processing metaphors is vital for various NLP applications, including sentiment analysis, information retrieval, and machine translation.

NLP 60

NLP Large Language Models Computational Linguistics Neural Network 60

Allen AI

JULY 8, 2023

Researchers from The Allen Institute for AI, University of Utah, Cornell University, OpenAI, and the Paul G. Allen School of Computer Science challenge AI models to “demonstrate understanding” of the sophisticated multimodal humor of The New Yorker Caption Contest.

Computational Linguistics 52

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Google Research AI blog

FEBRUARY 17, 2023

In “ FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation ”, accepted for publication in Transactions of the Association for Computational Linguistics , we present an evaluation dataset used to measure MT systems’ ability to support regional varieties through a case study on Brazilian vs. European Portuguese and Mainland vs.

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Data Scarcity Computational Linguistics Software Engineer Categorization 117

Marktechpost

DECEMBER 14, 2024

Additionally, it explains concepts like tokenization, embeddings, and the generation of sequential data, demonstrating how these techniques can be applied to both natural language and protein design, bridging the gap between computational linguistics and biological insights. Trending: LG AI Research Releases EXAONE 3.5:

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Deep Learning Machine Learning Neural Network Explainability 79

Topbots

JUNE 15, 2023

70% of research papers published in a computational linguistics conference only evaluated English.[ 5 ] Addressing the digital divide in NLP is crucial to ensure equitable language representation and performance in AI-driven technologies. Association for Computational Linguistics. Shijie Wu and Mark Dredze.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

Marktechpost

MARCH 22, 2024

This significant advancement in task-agnostic prompt compression enhances the practical usability of LLMs and opens new avenues for research and application in computational linguistics and beyond. Check out the Paper. All credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter.

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Large Language Models Computational Linguistics ML Artificial Intelligence 56

Google Research AI blog

JULY 10, 2023

Posted by Malaya Jules, Program Manager, Google This week, the 61st annual meeting of the Association for Computational Linguistics (ACL), a premier conference covering a broad spectrum of research areas that are concerned with computational approaches to natural language, is taking place online.

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The Stanford AI Lab Blog

MAY 25, 2022

The 60th Annual Meeting of the Association for Computational Linguistics (ACL) 2022 is taking place May 22nd - May 27th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below.

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The Stanford AI Lab Blog

FEBRUARY 1, 2022

In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5370-5381, Florence, Italy. Association for Computational Linguistics. ↩ Sheryl Brahnam. Interact 2005 work- shop Abuse: The darker side of Human-Computer Interaction , pages 62–67. ↩ John Suler.

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Topbots

JANUARY 30, 2023

400k AI-related online texts since 2021) Disclaimer: This article was written without the support of ChatGPT. On the other hand, the race is on — all major AI labs are planting their seeds to enhance LLMs with additional capabilities, and there is plenty of space for a cheerful glance into the future.

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Large Language Models Computational Linguistics LLM Natural Language Processing 52