IEEE

Enhancing Code Generation for Dataflow Programming: Fine-Tuning Large Language Models with the DFCPP Dataset

Abstract: In recent years, large language models (LLMs) based on the Transformer architecture have demonstrated excellent performance in code generation, but there have been fewer studies on data flow ...

How natural language processing and AI can help policymakers address global food insecurity

NLP offers powerful opportunities to support the UN Sustainable Development Goals (SDGs)—including SDG2 (Zero Hunger). In the ...
IEEE

Context-Aware Retrieval Augmented Generation Using Similarity Validation to Handle Context Inconsistencies in Large Language Models

Abstract: Large Language Models (LLMs) have transformed natural language processing by offering human-like responses. However, issues such as incorrect information (hallucinations) and errors in ...
GitHub

The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation

In this repository, we present LanDiff, a novel text-to-video generation framework that synergizes the strengths of Language Models and Diffusion Models. LanDiff offers these key features: LanDiff ...