ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
arge language models (LLMs), such as GPT-3 and ChatGPT, have demonstrated remarkable results in various natural language processing (NLP) tasks with in-context learning, which involves inference based on a few demonstration examples. Despite their successes in NLP tasks, no investigation has been co...
Saved in:
Main Authors: | HE, Jiabang, WANG, Lei, HU, Yi, LIU, Ning, LIU, Hui, XU, Xing, SHEN, Heng Tao |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8718 https://ink.library.smu.edu.sg/context/sis_research/article/9721/viewcontent/He_ICL_D3IE_In_Context_Learning_with_Diverse_Demonstrations_Updating_for_Document_Information_ICCV_2023_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Template-based math word problem solvers with recursive neural networks
by: WANG, Lei, et al.
Published: (2019) -
Do-GOOD: Towards distribution shift evaluation for pre-trained visual document understanding models
by: HE, Jiabang, et al.
Published: (2023) -
Alignment-enriched tuning for patch-level pre-trained document image models
by: WANG, Lei, et al.
Published: (2023) -
T-SciQ: Teaching multimodal Chain-of-Thought reasoning via large language model signals for science question answering
by: WANG, Lei, et al.
Published: (2024) -
Just adjust one prompt: Enhancing in-context dialogue scoring via constructing the optimal subgraph of demonstrations and prompts
by: PU, Jiashu, et al.
Published: (2023)