Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

As Large Language Models (LLMs) become popular, there emerged an important trend of
using multimodality to augment the LLMs' generation ability, which enables LLMs to better …

Task-oriented dialogue (TOD) systems have been widely used by mobile phone intelligent
assistants to accomplish tasks such as calendar scheduling or hotel reservation. Current …

Neural module networks (NMN) have achieved success in image-grounded tasks such as
Visual Question Answering (VQA) on synthetic images. However, very limited work on NMN …

The intelligent dialogue system, aiming at communicating with humans harmoniously with
natural language, is brilliant for promoting the advancement of human-machine interaction …

The majority of traditional text-to-video retrieval systems operate in static environments, ie,
there is no interaction between the user and the agent beyond the initial textual query …

Abstract Human-Object Interaction (HOI) recognition in videos is important for analyzing
human activity. Most existing work focusing on visual features usually suffer from occlusion …

A video-grounded dialogue system is required to understand both dialogue, which contains
semantic dependencies from turn to turn, and video, which contains visual cues of spatial …

Common grounding is the process of creating and maintaining mutual understandings,
which is a critical aspect of sophisticated human communication. While various task settings …

Designed for tracking user goals in dialogues, a dialogue state tracker is an essential
component in a dialogue system. However, the research of dialogue state tracking has …