Search Results for author:
Found 6 papers, 1 papers with code
Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection
Finally, we show LLM generated decision tree explanations correlate highly with human ratings of readability, quality, and use of background knowledge while simultaneously providing better understanding of decision boundaries.
Embedding Mental Health Discourse for Community Recommendation
Our paper investigates the use of discourse embedding techniques to develop a community recommendation system that focuses on mental health support groups on social media.
Large Language Models are Built-in Autoregressive Search Engines
To overcome this limitation, recent autoregressive search engines replace the dual-encoder architecture by directly generating identifiers for relevant documents in the candidate pool.
CodeDSI: Differentiable Code Search
In an effort to improve the performance of code search, we have investigated docid representation strategies, impact of tokenization on docid structure, and dataset sizes on overall code search performance.
Security Vulnerability Detection Using Deep Learning Natural Language Processing
Detecting security vulnerabilities in software before they are exploited has been a challenging problem for decades.
Automated Primary Hyperparathyroidism Screening with Neural Networks
Primary Hyperparathyroidism(PHPT) is a relatively common disease, affecting about one in every 1, 000 adults.
