2 papers
cs.CL2025
How Accurate Are LLMs at Multi-Question Answering on Conversational Transcripts?
Xiliang Zhu, Shi Zong, David Rossouw
Deploying Large Language Models (LLMs) for question answering (QA) over lengthy contexts is a significant challenge. In industrial settings, this process is often hindered by high…
cs.CL2025
Can Post-Training Quantization Benefit from an Additional QLoRA Integration?
Xiliang Zhu, Elena Khasanova, Cheng Chen
Large language models (LLMs) have transformed natural language processing but pose significant challenges for real-world deployment. These models necessitate considerable computing…