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Found 6 papers, 4 papers with code
Addressing Negative Transfer in Diffusion Models
Through this, our approach addresses the issue of negative transfer in diffusion models by allowing for efficient computation of MTL methods.
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.
Evaluation of Question Generation Needs More References
To this end, we propose to paraphrase the reference question for a more robust QG evaluation.
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.
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.
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking
In this paper, we hypothesize that dialogue summaries are essentially unstructured dialogue states; hence, we propose to reformulate dialogue state tracking as a dialogue summarization problem.
Abstractive Dialogue Summarization
Dialogue State Tracking
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