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Socratic Question Generation: A Novel Dataset, Models, and Evaluation
Socratic questioning is a form of reflective inquiry often employed in education to encourage critical thinking in students, and to …
Rethinking the Visual Cues in Audio-Visual Speaker Extraction.
The Audio-Visual Speaker Extraction (AVSE) algorithm employs parallel video recording to leverage two visual cues, namely speaker …
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding
Dialogue systems and large language models (LLMs) have gained considerable attention. However, the direct utilization of LLMs as …
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System
Dialogue systems and large language models (LLMs) have gained considerable attention. However, the direct utilization of LLMs as …
Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems:An Empirical Study
This work empirically investigates punctuation insertions as adversarial attacks on NLP systems. Data from experiments on three tasks, …
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process
Dialogue systems have received increasing attention while automatically evaluating their performance remains challenging. User …
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations
Unlike empathetic dialogues, the system in emotional support conversations (ESC) is expected to not only convey empathy for comforting …
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
Multimodal Review Helpfulness Prediction (MRHP) aims to rank product reviews based on predicted helpfulness scores and has been widely …
PIAVE: A Pose-Invariant Audio-Visual Speaker Extraction Network
It is common in everyday spoken communication that we look at the turning head of a talker to listen to his/her voice. Humans see the …
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration
Conversational systems based on Large Language Models (LLMs), such as ChatGPT, show exceptional proficiency in context understanding …