3 papers
cs.CL2026
Prompt Compression in Diffusion Large Language Models: Evaluating LLMLingua-2 on LLaDA
Sterling Huang, Abigayle Brown, Jiyoo Noh +4
Prompt compression reduces inference cost and context length in large language models, but prior evaluations focus mainly on autoregressive architectures. This study examines wheth…
cs.CL2026
Graph Fusion Across Languages using Large Language Models
Kaung Myat Kyaw, Khush Agarwal, Jonathan Chan
Combining multiple knowledge graphs (KGs) across linguistic boundaries is a persistent challenge due to semantic heterogeneity and the complexity of graph environments. We propose…
cs.SD2025
A Framework for Synthetic Audio Conversations Generation using Large Language Models
Kaung Myat Kyaw, Jonathan Hoyin Chan
In this paper, we introduce ConversaSynth, a framework designed to generate synthetic conversation audio using large language models (LLMs) with multiple persona settings. The fram…