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cs.IR2024
Zero-Indexing Internet Search Augmented Generation for Large Language Models
Guangxin He, Zonghong Dai, Jiangcheng Zhu +6
Retrieval augmented generation has emerged as an effective method to enhance large language model performance. This approach typically relies on an internal retrieval module that u…
cs.AI2024
TQA-Bench: Evaluating LLMs for Multi-Table Question Answering
Zipeng Qiu, Chenyue Li, You Peng +3
The advance of large language models (LLMs) has unlocked great opportunities in complex multi-modal data management tasks, particularly in question answering (QA) over complicated…
cs.LG2024★ 1 cited
On the Opportunities of (Re)-Exploring Atmospheric Science by Foundation Models: A Case Study
Lujia Zhang, Hanzhe Cui, Yurong Song +3
Most state-of-the-art AI applications in atmospheric science are based on classic deep learning approaches. However, such approaches cannot automatically integrate multiple complic…