4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 4 cited
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction
Yinghao Li, Rampi Ramprasad, Chao Zhang
Large language models (LLMs) have demonstrated impressive abilities in generating unstructured natural language according to instructions. However, their performance can be inconsi…
cs.CL2023
PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature
Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li +5
Scientific information extraction (SciIE), which aims to automatically extract information from scientific literature, is becoming more important than ever. However, there are no e…
cs.CL2023★ 3 cited
MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications
Yizhe Yang, Huashan Sun, Jiawei Li +5
Large Language Models (LLMs) have demonstrated remarkable performance across various natural language tasks, marking significant strides towards general artificial intelligence. Wh…