LLM-Based Text Prediction and Question Answer Models for Aphasia Speech
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3443592
Abstract: Aphasia, a brain injury-related linguistic problem, hinders communication. Current techniques generally struggle to handle aphasic speech’s intricacies. BERT, short for Bidirectional Encoder Representations from Transformers, is a pre-trained natural language model that utilizes contextual information… read more here.
Keywords: based text; llm based; speech; text prediction ... See more keywords
The Applicability of LLMs in Generating Textual Samples for Analysis of Imbalanced Datasets
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3463400
Abstract: In machine learning class imbalance is a pressing issue, where the model is biased towards the majority classes and underperforms in the minority classes. In textual data, the natural language processing (NLP) model bias significantly… read more here.
Keywords: class; llm based; augmentation; based data ... See more keywords
LLM-Based Code Generation: A Systematic Literature Review With Technical and Demographic Insights
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3631952
Abstract: The rapid emergence of Large Language Models (LLMs) has significantly advanced the field of code generation, sparking growing research interest across both academia and industry. While existing reviews provide foundational insights into LLM-based code generation,… read more here.
Keywords: technical demographic; code; based code; llm based ... See more keywords
A LLM-Based Hybrid-Transformer Diagnosis System in Healthcare
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3481412
Abstract: The application of computer vision-powered large language models (LLMs) for medical image diagnosis has significantly advanced healthcare systems. Recent progress in developing symmetrical architectures has greatly impacted various medical imaging tasks. While CNNs or RNNs… read more here.
Keywords: diagnosis; healthcare; llm based; based hybrid ... See more keywords
A Web-Based Solution for Federated Learning With LLM-Based Automation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3542897
Abstract: Federated learning (FL) offers a promising approach for collaborative machine learning (ML) across distributed devices. However, its adoption is hindered by the complexity of building reliable communication architectures and the need for expertise in both… read more here.
Keywords: web based; solution; llm based; federated learning ... See more keywords
Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3415931
Abstract: Large Language Models (LLMs) are gaining popularity in the field of robotics. However, LLM-based robots are limited to simple, repetitive motions due to the poor integration between language models, robots, and the environment. This letter… read more here.
Keywords: human robot; robot; llm based; language ... See more keywords
Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2025.3600454
Abstract: This letter studies the sensing-assisted channel prediction for a multi-antenna orthogonal frequency division multiplexing (OFDM) system operating in realistic and complex wireless environments. In this system, an integrated sensing and communication (ISAC) transmitter leverages the… read more here.
Keywords: llm based; prediction; channel prediction; communication ... See more keywords
Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3609486
Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database schema comprehension, and SQL generation. Traditional text-to-SQL systems, which combine human engineering… read more here.
Keywords: database; text sql; based text; llm based ... See more keywords
Shield Broken: Black-Box Adversarial Attacks on LLM-Based Vulnerability Detectors
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2025.3638998
Abstract: Vulnerability detection is critical for ensuring software security. Although deep learning (DL) methods, particularly those employing large language models (LLMs), have shown strong performance in automating vulnerability identification, they remain susceptible to adversarial examples, which… read more here.
Keywords: black box; llm based; based vulnerability; vulnerability detectors ... See more keywords
Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model.
Sign Up to like & getrecommendations! Published in 2025 at "Science advances"
DOI: 10.1126/sciadv.ads8932
Abstract: Large language models (LLMs) have shown remarkable advancements in chemistry and biomedical research, acting as versatile foundation models for various tasks. We introduce AMP-Designer, an LLM-based approach, for swiftly designing antimicrobial peptides (AMPs) with desired… read more here.
Keywords: llm based; foundation; amp designer; antimicrobial peptides ... See more keywords
Breaking the News: Taking the Roles of Influencer vs. Journalist in a LLM-Based Game for Raising Misinformation Awareness
Sign Up to like & getrecommendations! Published in 2025 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3748600
Abstract: Effectively mitigating online misinformation requires understanding of their mechanisms and learning of practical skills for identification and counteraction. Serious games may serve as tools for combating misinformation, teaching players to recognize common misinformation tactics, and… read more here.
Keywords: misinformation; news taking; breaking news; llm based ... See more keywords