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Found 4 papers, 2 papers with code
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain
Resolving coreference and bridging relations in chemical patents is important for better understanding the precise chemical process, where chemical domain knowledge is very critical.
Valley: Video Assistant with Large Language model Enhanced abilitY
Large language models (LLMs), with their remarkable conversational capabilities, have demonstrated impressive performance across various applications and have emerged as formidable AI assistants.
SourceP: Detecting Ponzi Schemes on Ethereum with Source Code
In this paper, we propose SourceP, a method to detect smart Ponzi schemes on the Ethereum platform using pre-trained models and data flow, which only requires using the source code of smart contracts as features.
Coreference Resolution for the Biomedical Domain: A Survey
Issues with coreference resolution are one of the most frequently mentioned challenges for information extraction from the biomedical literature.
