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Contextual Augmentation of Pretrained Language Models for Emotion Recognition in Conversations
We firstly use ELECTRA which is a state-of-the-art pretrained language model and validate the performance on emotion recognition in conversations.
BRIDO: Bringing Democratic Order to Abstractive Summarization
Hallucination refers to the inaccurate, irrelevant, and inconsistent text generated from large language models (LLMs).
Hansel: Output Length Controlling Framework for Large Language Models
We demonstrate this by finetuning four different LLMs with Hansel and show that the mean absolute error of the output sequence decreases significantly in every model and dataset compared to the prompt-based length control finetuning.
KILDST: Effective Knowledge-Integrated Learning for Dialogue State Tracking using Gazetteer and Speaker Information
Our evaluations of the dialogue datasets between users that plan a schedule show that our model outperforms the baseline model.
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