Exploiting Generative AI to Scale up Intelligent Tutoring Systems
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As a present to Mizar on its 50th anniversary, we develop an AI/TP system that automatically proves about 60% of the Mizar theorems in the hammer setting. We also automatically prove 75% of the Mizar theorems when the automated provers are helped by using only the premises used in the human-written Mizar proofs. We describe the methods and large-scale experiments leading to these results. This includes in particular the E and Vampire provers, their ENIGMA and Deepire learning modifications, a number of learning-based premise selection methods, and the incremental loop that interleaves growing a corpus of millions of ATP proofs with training increasingly strong AI/TP systems on them. We also present a selection of Mizar problems that were proved automatically.
Citation edge evidence
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- Transformers: State-of-the-Art Natural Language Processing→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Emerging Properties in Self-Supervised Vision Transformers→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligen…→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Transformer-XL: Attentive Language Models beyond a Fixed-Length Context→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- SciBERT: A Pretrained Language Model for Scientific Text→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Heterogeneous Graph Attention Network→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Conformer: Convolution-augmented Transformer for Speech Recognition→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- A Survey on Evaluation of Large Language Models→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- A review of uncertainty quantification in deep learning: Techniques, applications and cha…→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- CodeBERT: A Pre-Trained Model for Programming and Natural Languages→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- fairseq: A Fast, Extensible Toolkit for Sequence Modeling→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- LXMERT: Learning Cross-Modality Encoder Representations from Transformers→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Shortcut learning in deep neural networks→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Language Models as Knowledge Bases?→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- TinyBERT: Distilling BERT for Natural Language Understanding→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Text Summarization with Pretrained Encoders→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
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- A Survey on Deep Learning for Named Entity Recognition→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- ERNIE: Enhanced Language Representation with Informative Entities→Exploiting Generative AI to Scale up Intelligent Tutoring SystemsLegacy edge — source detail unavailable
- Language Models as Knowledge Bases?→Transformer-XL: Attentive Language Models beyond a Fixed-Length ContextLegacy edge — source detail unavailable
- Transformers: State-of-the-Art Natural Language Processing→fairseq: A Fast, Extensible Toolkit for Sequence ModelingLegacy edge — source detail unavailable
- Transformers: State-of-the-Art Natural Language Processing→Transformer-XL: Attentive Language Models beyond a Fixed-Length ContextLegacy edge — source detail unavailable
- Transformers: State-of-the-Art Natural Language Processing→SciBERT: A Pretrained Language Model for Scientific TextLegacy edge — source detail unavailable
- A Survey on Deep Learning for Named Entity Recognition→fairseq: A Fast, Extensible Toolkit for Sequence ModelingLegacy edge — source detail unavailable
- A Survey on Deep Learning for Named Entity Recognition→ERNIE: Enhanced Language Representation with Informative EntitiesLegacy edge — source detail unavailable
- Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→SciBERT: A Pretrained Language Model for Scientific TextLegacy edge — source detail unavailable
- Conformer: Convolution-augmented Transformer for Speech Recognition→Transformer-XL: Attentive Language Models beyond a Fixed-Length ContextLegacy edge — source detail unavailable
- CodeBERT: A Pre-Trained Model for Programming and Natural Languages→Language Models as Knowledge Bases?Legacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Transformers: State-of-the-Art Natural Language ProcessingLegacy edge — source detail unavailable
- ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning→Transformer-XL: Attentive Language Models beyond a Fixed-Length ContextLegacy edge — source detail unavailable
- WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing→Conformer: Convolution-augmented Transformer for Speech RecognitionLegacy edge — source detail unavailable
- A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development→TinyBERT: Distilling BERT for Natural Language UnderstandingLegacy edge — source detail unavailable
- A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development→BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligen…Legacy edge — source detail unavailable
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| Natural Language Processing Techniques | Computer Science |
| Topic Modeling | Computer Science |
| Multimodal Machine Learning Applications | Computer Science |
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