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Found 9 papers, 5 papers with code
Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models
This report introduces \texttt{EEVE-Korean-v1. 0}, a Korean adaptation of large language models that exhibit remarkable capabilities across English and Korean text understanding.
Towards Practical Plug-and-Play Diffusion Models
For that, the existing practice is to fine-tune the guidance models with labeled data corrupted with noises.
Evaluating the Knowledge Dependency of Questions
They fail to evaluate the MCQ's ability to assess the student's knowledge of the corresponding target fact.
Structure-Augmented Keyphrase Generation
The second phase, encoding structure, builds a graph of keyphrases and the given document to obtain the structure-aware representation of the augmented text.
Towards Zero-Shot Functional Compositionality of Language Models
Large Pre-trained Language Models (PLM) have become the most desirable starting point in the field of NLP, as they have become remarkably good at solving many individual tasks.
Label-Efficient Training for Next Response Selection
This paper studies label augmentation for training dialogue response selection.
Evaluation of Question Generation Needs More References
To this end, we propose to paraphrase the reference question for a more robust QG evaluation.
Cross Encoding as Augmentation: Towards Effective Educational Text Classification
To mitigate these issues, here we propose a novel retrieval approach CEAA that provides effective learning in educational text classification.
Multi-Architecture Multi-Expert Diffusion Models
In this paper, we address the performance degradation of efficient diffusion models by introducing Multi-architecturE Multi-Expert diffusion models (MEME).
