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Found 7 papers, 3 papers with code
Evolving Knowledge Distillation with Large Language Models and Active Learning
In this paper, we propose EvoKD: Evolving Knowledge Distillation, which leverages the concept of active learning to interactively enhance the process of data generation using large language models, simultaneously improving the task capabilities of small domain model (student model).
Goal-Oriented Prompt Attack and Safety Evaluation for LLMs
There are several black-box attack methods, such as Prompt Attack, which can change the behaviour of LLMs and induce LLMs to generate unexpected answers with harmful contents.
LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination
We contend that a mere memory module is inadequate and fully training an LLM can be excessively costly.
PPN: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts
Firstly, the layout of existing datasets is relatively fixed and limited in the number of semantic entity categories, creating a significant gap between these datasets and the complex real-world scenarios.
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction
In addition, we propose RexUIE, which is a Recursive Method with Explicit Schema Instructor for UIE.
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning
Relational fact extraction aims to extract semantic triplets from unstructured text.
Ranked #4 on
Relation Extraction
on NYT
Technical report on Conversational Question Answering
Conversational Question Answering is a challenging task since it requires understanding of conversational history.
