research
∙
05/31/2023
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
Argument mining involves multiple sub-tasks that automatically identify ...
share
research
∙
05/24/2023
Is GPT-4 a Good Data Analyst?
As large language models (LLMs) have demonstrated their powerful capabil...
research
∙
05/24/2023
Unlocking Temporal Question Answering for Large Language Models Using Code Execution
Large language models (LLMs) have made significant progress in natural l...
research
∙
05/22/2023
Are Large Language Models Good Evaluators for Abstractive Summarization?
Human evaluations are often required for abstractive summary evaluations...
research
∙
05/19/2023
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation
Recently, data augmentation (DA) methods have been proven to be effectiv...
research
∙
05/15/2023
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization
Pre-trained language models (PLMs) have accomplished impressive achievem...
research
∙
10/26/2022
SentBS: Sentence-level Beam Search for Controllable Summarization
A wide range of control perspectives have been explored in controllable ...
research
∙
03/23/2022
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
Traditionally, a debate usually requires a manual preparation process, i...
research
∙
10/14/2021
MReD: A Meta-Review Dataset for Controllable Text Generation
When directly using existing text generation datasets for controllable g...
research
∙
06/06/2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
Adapter-based tuning has recently arisen as an alternative to fine-tunin...
research
∙
04/30/2020
