Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
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Updated
Aug 31, 2024 - Python
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch
Pre-training of Language Models for Language Understanding
[eLife 2020] "Comprehension of computer code relies primarily on domain-general executive brain regions" by Anna A. Ivanova, Shashank Srikant, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Una-May O'Reilly, Marina U. Bers, Evelina Fedorenko
[RA-L] DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding
[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.
[ICRA 2023] Learning Visual-Audio Representations for Voice-Controlled Robots
Neural network model to measure semantic similarity between sentences.
An analysis of representations of computer programs learned by ML models and those seen in our brains
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