5 citations · 26 across the 15 of their papers we have counts for
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cs.CL2023★ 5 cited
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
Xiangru Tang, Yiming Zong, Jason Phang +4
Despite the remarkable capabilities of Large Language Models (LLMs) like GPT-4, producing complex, structured tabular data remains challenging. Our study assesses LLMs' proficiency…
cs.LG2023★ 4 cited
BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models
Xiangru Tang, Bill Qian, Rick Gao +3
Pre-trained large language models (LLMs) have significantly improved code generation. As these models scale up, there is an increasing need for the output to handle more intricate…