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Researchers from the University of Washington and Allen Institute for AI Introduce Time Vectors: A Simple Tool to Customize Language Models to New Time Periods

Marktechpost

Computational linguistics focuses on developing advanced language models capable of understanding and generating human language. By employing time vectors, researchers have unlocked a method to adapt models to various periods efficiently, ensuring their relevance and effectiveness in the face of the continuous evolution of language.

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Do Large Language Models Really Need All Those Layers? This AI Research Unmasks Model Efficiency: The Quest for Essential Components in Large Language Models

Marktechpost

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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Alibaba Researchers Unveil Unicron: An AI System Designed for Efficient Self-Healing in Large-Scale Language Model Training

Marktechpost

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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Researchers at UC Santa Cruz Propose a Novel Text-to-Image Association Test Tool that Quantifies the Implicit Stereotypes between Concepts and Valence and Those in the Images

Marktechpost

This innovative tool was presented at the 2023 Association for Computational Linguistics (ACL) conference. All Credit For This Research Goes To the Researchers on This Project.

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What if AI treats humans the way we treat animals?

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While we can only guess whether some powerful future AI will categorize us as unintelligent, what’s clear is that there is an explicit and concerning contempt for the human animal among prominent AI boosters. We have no reason to believe any current AIs are sentient, but we also have no way of knowing whether or how that could change.

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AI2 at ACL 2023

Allen AI

Highlighted work from our institute appearing at this year’s ACL conference The 61st Annual Meeting of the Association for Computational Linguistics logo The 61st Annual Meeting of the Association for Computational Linguistics (ACL) is the premier conference in the field of computational linguistics, covering a broad spectrum of diverse research areas (..)

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All Languages Are NOT Created (Tokenized) Equal

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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. Shijie Wu and Mark Dredze.