Large Language Models (LLMs) are increasingly embedded in academic writing practices. Although numerous studies have explored how researchers employ these tools...
Snowflake-style distributed ID generators are the industry standard for producing k-ordered, unique identifiers at scale. However, the traditional requirement f...
Extracting coherent and human-understandable themes from large collections of unstructured historical newspaper archives presents significant challenges due to ...
Introducing FirecREST v2, the next generation of our open-source RESTful API for programmatic access to HPC resources. FirecREST v2 delivers a 100x performance ...
Retrieval-augmented generation (RAG) models rely on retrieved evidence to guide large language model (LLM) generators, yet current systems treat retrieval as a ...
Coding agents are becoming increasingly capable of completing end-to-end software engineering workflows that previously required a human developer, including ra...
We consider the problem of auditing black-box large language models (LLMs) to ensure they behave reliably when deployed in production settings, particularly in ...
Social media serves as a critical medium in modern politics because it both reflects politicians' ideologies and facilitates communication with younger generati...
Reliable interpretation of multimodal data in dentistry is essential for automated oral healthcare, yet current multimodal large language models (MLLMs) struggl...
Key frame selection in video understanding presents significant challenges. Traditional top-K selection methods, which score frames independently, often fail to...
The growing demand for real-time DNN applications on edge devices necessitates faster inference of increasingly complex models. Although many devices include sp...
In the continuously evolving cloud computing and network environment, service function chain (SFC) plays a crucial role in implementing complex services in the ...
