{"total":48,"rows":[{"id":"2202.08904","title":"SGPT: GPT Sentence Embeddings for Semantic Search","created":"2022-02-17","cited_by_count":204,"area":null},{"id":"2302.10035","title":"Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey","created":"2023-02-20","cited_by_count":153,"area":null},{"id":"2204.07580","title":"mGPT: Few-Shot Learners Go Multilingual","created":"2022-04-15","cited_by_count":142,"area":null},{"id":"2108.05542","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","created":"2021-08-12","cited_by_count":131,"area":null},{"id":"2110.05006","title":"Pre-trained Language Models in Biomedical Domain: A Systematic Survey","created":"2021-10-11","cited_by_count":87,"area":null},{"id":"2305.11863","title":"Scaling laws for language encoding models in fMRI","created":"2023-05-19","cited_by_count":68,"area":null},{"id":"2209.03299","title":"Multimodal learning with graphs","created":"2022-09-07","cited_by_count":54,"area":null},{"id":"2105.00827","title":"AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models","created":"2021-04-16","cited_by_count":32,"area":null},{"id":"2206.01583","title":"Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian","created":"2022-06-03","cited_by_count":29,"area":null},{"id":"2105.03322","title":"Are Pre-trained Convolutions Better than Pre-trained Transformers?","created":"2021-05-07","cited_by_count":27,"area":null},{"id":"2309.10931","title":"A Family of Pretrained Transformer Language Models for Russian","created":"2023-09-19","cited_by_count":27,"area":null},{"id":"2112.11031","title":"On Cross-Lingual Retrieval with Multilingual Text Encoders","created":"2021-12-21","cited_by_count":22,"area":null},{"id":"2406.01607","title":"Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark","created":"2024-05-27","cited_by_count":19,"area":null},{"id":"2411.14708","title":"Understanding LLM Embeddings for Regression","created":"2024-11-22","cited_by_count":19,"area":null},{"id":"2307.12267","title":"Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education","created":"2023-07-23","cited_by_count":17,"area":null},{"id":"2101.08370","title":"Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval","created":"2021-01-21","cited_by_count":16,"area":null},{"id":"2302.06426","title":"Linguistic ambiguity analysis in ChatGPT","created":"2023-02-13","cited_by_count":14,"area":null},{"id":"2304.12329","title":"Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]","created":"2023-04-24","cited_by_count":13,"area":null},{"id":"2508.06811","title":"Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face","created":"2025-08-09","cited_by_count":12,"area":null},{"id":"2109.14017","title":"Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations","created":"2021-09-28","cited_by_count":10,"area":null},{"id":"2402.17467","title":"Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey","created":"2024-02-27","cited_by_count":10,"area":null},{"id":"2306.04735","title":"Soft-prompt Tuning for Large Language Models to Evaluate Bias","created":"2023-06-07","cited_by_count":7,"area":null},{"id":"2307.10472","title":"Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting?","created":"2023-07-19","cited_by_count":6,"area":null},{"id":"2411.05036","title":"From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models","created":"2024-11-06","cited_by_count":6,"area":null},{"id":"2311.00931","title":"Learning Defect Prediction from Unrealistic Data","created":"2023-11-02","cited_by_count":5,"area":null},{"id":"2301.03403","title":"A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding","created":"2023-01-04","cited_by_count":4,"area":null},{"id":"2305.07887","title":"Reviewer assignment problem: A scoping review","created":"2023-05-13","cited_by_count":4,"area":null},{"id":"2110.00269","title":"A Survey of Knowledge Enhanced Pre-trained Models","created":"2021-10-01","cited_by_count":3,"area":null},{"id":"2309.02317","title":"A study on the impact of pre-trained model on Just-In-Time defect prediction","created":"2023-09-05","cited_by_count":3,"area":null},{"id":"2104.11230","title":"Literature review on vulnerability detection using NLP technology","created":"2021-04-23","cited_by_count":2,"area":null},{"id":"2110.01804","title":"A Survey On Neural Word Embeddings","created":"2021-10-05","cited_by_count":2,"area":null},{"id":"2404.17606","title":"SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings","created":"2024-04-25","cited_by_count":2,"area":null},{"id":"2110.05115","title":"A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution","created":"2021-10-11","cited_by_count":1,"area":null},{"id":"2111.03837","title":"Focusing on Potential Named Entities During Active Label Acquisition","created":"2021-11-06","cited_by_count":1,"area":null},{"id":"2305.17127","title":"Characterizing and Measuring Linguistic Dataset Drift","created":"2023-05-26","cited_by_count":1,"area":null},{"id":"2309.01576","title":"A Comparative Analysis of Pretrained Language Models for Text-to-Speech","created":"2023-09-04","cited_by_count":1,"area":null},{"id":"2312.14945","title":"Empowering ChatGPT-Like Large-Scale Language Models with Local Knowledge Base for Industrial Prognostics and Health Management","created":"2023-12-06","cited_by_count":1,"area":null},{"id":"2401.16736","title":"Engineering A Large Language Model From Scratch","created":"2024-01-30","cited_by_count":1,"area":null},{"id":"2502.15996","title":"Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts","created":"2025-02-21","cited_by_count":1,"area":null},{"id":"2104.05928","title":"Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders","created":"2021-04-13","cited_by_count":0,"area":null},{"id":"2108.07593","title":"MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors","created":"2021-08-17","cited_by_count":0,"area":null},{"id":"2112.08554","title":"A Deep Learning Approach for Ontology Enrichment from Unstructured Text","created":"2021-12-16","cited_by_count":0,"area":null},{"id":"2208.05721","title":"Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic","created":"2022-08-11","cited_by_count":0,"area":null},{"id":"2208.09934","title":"A Graphical Model for Fusing Diverse Microbiome Data","created":"2022-08-21","cited_by_count":0,"area":null},{"id":"2503.20278","title":"The cell as a token: high-dimensional geometry in language models and cell embeddings","created":"2025-03-26","cited_by_count":0,"area":null},{"id":"2504.14068","title":"Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement","created":"2025-04-18","cited_by_count":0,"area":null},{"id":"2506.04373","title":"Mechanistic Decomposition of Sentence Representations","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2506.05490","title":"Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale","created":"2025-06-05","cited_by_count":0,"area":null}],"next_cursor":null}