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Promptor: An Interactive and Conversational Prompting Agent for Intelligent Text Entry Techniques

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How to Fine-Tune BERT for Text Classification?
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Language Model Adaptation
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Considering optimization of English grammar error correction based on neural network
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Personalizing sentences and text
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Statistical language model adaptation: review and perspectives
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A cache-based natural language model for speech recognition
inferredcites →https://doi.org/10.1109/86.331567openalex-extracted
Modeling the speed of text entry with a word prediction interface
inferredcites →https://doi.org/10.1109/access.2020.3014779openalex-extracted
Deep Learning-Based Context-Sensitive Spelling Typing Error Correction
inferredcites →https://doi.org/10.1109/confluence52989.2022.9734151openalex-extracted
Next Word Prediction Using Deep Learning: A Comparative Study
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Language model adaptation using mixtures and an exponentially decaying cache
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Grammatical Error Checking Systems: A Review of Approaches and Emerging Directions
inferredcites →https://doi.org/10.1109/iciip47207.2019.8985885openalex-extracted
Predicting next Word using RNN and LSTM cells: Stastical Language Modeling
inferredcites →https://doi.org/10.1109/tvcg.2022.3209479openalex-extracted
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation With Large Language Models
inferredcites →https://doi.org/10.1109/tvcg.2023.3327168openalex-extracted
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
inferredcites →https://doi.org/10.1145/2702123.2702503openalex-extracted
Effects of Language Modeling and its Personalization on Touchscreen Typing Performance
inferredcites →https://doi.org/10.1145/2702123.2702597openalex-extracted
Performance and User Experience of Touchscreen and Gesture Keyboards in a Lab Setting and in the Wild
inferredcites →https://doi.org/10.1145/3477495.3531779openalex-extracted
PERD: Personalized Emoji Recommendation with Dynamic User Preference
inferredcites →https://doi.org/10.1145/3544548.3580895openalex-extracted
Enabling Conversational Interaction with Mobile UI using Large Language Models
inferredcites →https://doi.org/10.1155/2020/8834908openalex-extracted
Personalized News Recommendation and Simulation Based on Improved Collaborative Filtering Algorithm
inferredcites →https://doi.org/10.1162/coli_a_00322openalex-extracted
A Structured Review of the Validity of BLEU
inferredcites →https://doi.org/10.1371/journal.pdig.0000198openalex-extracted
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
inferredcites →https://doi.org/10.1609/aimag.v30i4.2269openalex-extracted
Five Challenges for Intelligent Text Entry Methods
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.346openalex-extracted
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.611openalex-extracted
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
inferredcites →https://doi.org/10.18653/v1/2022.findings-acl.222openalex-extracted
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.870openalex-extracted
Can Large Language Models Be an Alternative to Human Evaluations?
inferredcites →https://doi.org/10.18653/v1/d15-1202openalex-extracted
Solving General Arithmetic Word Problems
inferredcites →https://doi.org/10.21437/interspeech.2012-65openalex-extracted
LSTM neural networks for language modeling
inferredcites →https://doi.org/10.2466/pr0.1989.65.1.223openalex-extracted
Note on Cohen's Kappa
inferredcites →https://doi.org/10.2478/v10117-011-0021-1openalex-extracted
Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data
inferredcites →https://doi.org/10.3115/1599081.1599101openalex-extracted
Hybrid processing for grammar and style checking
inferredcites →https://doi.org/10.3115/v1/w14-1702openalex-extracted
Grammatical error correction using hybrid systems and type filtering
inferredcites →https://doi.org/10.3390/s19081911openalex-extracted
Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-extracted
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.48550/arxiv.1709.06429openalex-extracted
Neural Networks for Text Correction and Completion in Keyboard Decoding
inferredcites →https://doi.org/10.48550/arxiv.2005.06600openalex-extracted
A Comprehensive Survey of Grammar Error Correction
inferredcites →https://doi.org/10.48550/arxiv.2201.11903openalex-extracted
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
inferredcites →https://doi.org/10.48550/arxiv.2203.11171openalex-extracted
Self-Consistency Improves Chain of Thought Reasoning in Language Models
inferredcites →https://doi.org/10.48550/arxiv.2205.09712openalex-extracted
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
inferredcites →https://doi.org/10.48550/arxiv.2205.10625openalex-extracted
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2205.11916openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2208.07852openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2209.08655openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2211.01910openalex-extracted
Large Language Models Are Human-Level Prompt Engineers
inferredcites →https://doi.org/10.48550/arxiv.2301.07597openalex-extracted
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
inferredcites →https://doi.org/10.48550/arxiv.2302.11382openalex-extracted
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
inferredcites →https://doi.org/10.48550/arxiv.2302.14520openalex-extracted
Large Language Models Are State-of-the-Art Evaluators of Translation Quality
inferredcites →https://doi.org/10.48550/arxiv.1803.00985openalex-snapshot
Hybrid Model For Word Prediction Using Naive Bayes and Latent Information
inferredcites →https://doi.org/10.52202/068431-1613openalex-snapshot
Large Language Models Are Zero-Shot Reasoners
inferredcites →https://doi.org/10.57702/ljteqmrbopenalex-snapshot
Bleu: a method for automatic evaluation of machine translation
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