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Deductive software architecture recovery via chain-of-thought prompting
As software evolves, software architecture recovery techniques can help for effective
maintenance. We envision a deductive software architecture recovery approach supported …
maintenance. We envision a deductive software architecture recovery approach supported …
Exploiting LLM Embeddings for Content-Based IoT Anomaly Detection
T Wang, Z Zhao, K Wu - 2024 IEEE Pacific Rim Conference on …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) consists of enormous special-purpose devices whose security is
hard to guarantee due to their simple design. Compared to data content on the Internet, the …
hard to guarantee due to their simple design. Compared to data content on the Internet, the …
Explaining learning to rank methods to improve them
A Veneri - Proceedings of the 32nd ACM International …, 2023 - dl.acm.org
State-of-the-art methods for Learning to Rank (LtR), either designed for tabular or textual
data, are incredibly complex. Increasing the complexity of the models has many drawbacks …
data, are incredibly complex. Increasing the complexity of the models has many drawbacks …
Exploring the Intersection of Large Language Models (LLMs) and Explainable AI (XAI): A Systematic Literature Review (Research-in-Progress)
BL Sebin, NA Taskin, N Mehdiyev - 2024 - aisel.aisnet.org
In the evolving domain of natural language processing (NLP), the emergence of Large
Language Models (LLMs) like Generative Pre-trained Transformer (GPT), Bidirectional …
Language Models (LLMs) like Generative Pre-trained Transformer (GPT), Bidirectional …