This focuses on computational approaches to understanding, processing, and generating human languages.
The study explores the concept of entrainment – the tendency of people to engage in synchronized behavior during interactions. Using Deep Neural Networks (DNN) embeddings like BERT and TRIpLet Loss…
Continue readingThe research explores the use of models such as BERT and HuBERT in dimensional speech emotion recognition. Despite their large dimensionality, these models are frequently used for emotion recognition tasks,…
Continue readingThe paper presents ProLab, a unique approach that uses property-level label space to generate robust and interpretable segmentation models. Rather than solely relying on category-specific annotations, ProLab uses descriptive properties…
Continue readingThe paper introduces a task of logical session complex query answering (LS-CQA) to understand complex user intentions across multiple sessions. These intentions are crucial for enhancing product recommendations, navigation suggestions,…
Continue readingThe paper proposes a language-based programming assistant for industrial robots. The assistant provides interactive dialogues about skills, example use-cases and expected robot behavior. The authors present three alternative model families,…
Continue readingThe study introduces LM Assertions, a novel programming construct designed to enforce user-specified properties on Language Model (LM) outputs within a pipeline framework. This is integrated into the DSPy programming…
Continue readingThe research presents a novel tool called ‘time vectors’ for customizing language models according to specific time periods. This is achieved by finetuning a language model on data from a…
Continue readingThe study addresses the challenge of few-shot intent classification and slot filling due to the lack of finely labeled data. To overcome this, a new method is proposed which decouples…
Continue readingThis research paper investigates the application of deep learning-based clinical coding approaches in outpatient settings. It addresses the lack of research in this area despite its distinct challenges and potential…
Continue readingThis academic article introduces a new tourism planning system for the Dialogue Robot Competition 2023. The system uses large language models (LLMs) to manage conversational abilities and planning capabilities, aiming…
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