AllenNLP

HuggingFace’s Experiments Reveal Effective Tricks for Multimodal Large Models

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HuggingFace's Experiments Reveal Effective Tricks for Multimodal Large Models

MLNLP community is a well-known machine learning and natural language processing community, covering domestic and international NLP master’s and doctoral students, university teachers, and corporate researchers. Community Vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for the progress of beginners. Reprinted from … Read more

How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

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How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

MLNLP community is a renowned machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

An Overview of Multi-Modal Summarization

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An Overview of Multi-Modal Summarization

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and Ph.D. students, university professors, and researchers in enterprises. The vision of the community is to promote communication between the academic and industrial communities of natural language processing and machine … Read more

Why the Use of Q-Former Structure in Multimodal Large Models Has Decreased Recently?

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Why the Use of Q-Former Structure in Multimodal Large Models Has Decreased Recently?

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and PhD students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial fields of natural language processing and machine learning, especially for the progress … Read more

Research Progress on Multimodal Large Language Models

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Research Progress on Multimodal Large Language Models

About 3800 words, recommended reading time is 7 minutes. This article provides a comprehensive overview of MM-LLMs. 1. Introduction Multimodal large language models (MM-LLMs) have made significant progress over the past year by optimizing modality alignment and human intent alignment, enhancing existing unimodal foundational models (LLMs) to support various MM tasks. This article provides a … Read more

Current Research Status And Development Trends Of Generative AI

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Current Research Status And Development Trends Of Generative AI

With the advent of ChatGPT, research on generative artificial intelligence has made groundbreaking progress in the field of multimodal information processing, including text, images, and videos, attracting widespread attention. This article reviews the research progress of generative artificial intelligence and discusses its future development trends. Specifically, it includes three parts: first, a review of the … Read more

Introduction to CNN and Code Implementation

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Introduction to CNN and Code Implementation

Follow the public account “ML_NLP” Set as “Starred”, heavy content delivered first! Author & Code: Harbin Institute of Technology SCIR Shi Jihao 1. Introduction 1.1 Article Organization This article briefly introduces the basic principles of CNN and uses the sentence-level sentiment classification task as an example to introduce the use of CNN methods for feature … Read more

A Detailed Explanation of Chinese Entity Recognition Model Lattice LSTM

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A Detailed Explanation of Chinese Entity Recognition Model Lattice LSTM

Delivering NLP technology insights to you every day! Source: AI Algorithm Xiao Miao Introduction Today I want to share with you a paper on Chinese Named Entity Recognition by Professor Zhang Yue from Westlake University, published at the ACL conference in 2018, titled Lattice LSTM. Paper Title: “Chinese NER Using Lattice LSTM” Paper Link: https://arxiv.org/pdf/1805.02023.pdf … Read more

Advantages and Disadvantages of CRF and LSTM Models in Sequence Labeling

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Advantages and Disadvantages of CRF and LSTM Models in Sequence Labeling

Click the “MLNLP” above to add it to your “Starred” or “Pinned” list. Heavyweight content delivered to you first. Editor: Yizhen https://www.zhihu.com/question/46688107 This article is for academic sharing only. If there is any infringement, it will be deleted. Advantages and Disadvantages of CRF and LSTM Models in Sequence Labeling Author:Xie Zhininghttps://www.zhihu.com/question/46688107/answer/117448674 Both have their pros … Read more

The Era of Transformers: Why LSTM Models Still Matter

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The Era of Transformers: Why LSTM Models Still Matter

Follow us on WeChat “ML_NLP” Set as “Starred” for heavy content delivered first-hand! Source | Zhihu Author | DengBoCong Link | https://www.zhihu.com/question/439243827/answer/1685085848 Editor | Machine Learning Algorithms and Natural Language Processing WeChat Account This article is for academic sharing. If there is an infringement, please contact us to delete it. I wrote a lot specifically … Read more