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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.CL2024
The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models
Xiliang Zhu, Shayna Gardiner, Tere Roldán +1
Sentiment analysis serves as a pivotal component in Natural Language Processing (NLP). Advancements in multilingual pre-trained models such as XLM-R and mT5 have contributed to the…