paper-conference

The rapid advancement of neural language models has sparked a new surge of intelligent agent research. Unlike traditional agents, large …

Conversational recommender systems (CRS) aim to recommend relevant items to users by eliciting user preference through natural language …

Given a query, the task of Natural Language Video Localization (NLVL) is to localize a temporal moment in an untrimmed video that …

Out-of-distribution (OOD) settings are used to measure a model’s performance when the distribution of the test data is different …

Translate-train is a general training approach to multilingual tasks. The key idea is to use the translator of the target language to …

Dialogue relation extraction (RE) is to predict the relation type of two entities mentioned in a dialogue. In this paper, we propose a …

Multiple-Choice Question Answering (MCQA) is a challenging task in machine reading comprehension. The main challenge in MCQA is to …

Pre-trained multilingual language models, e.g., multilingual-BERT, are widely used in cross-lingual tasks, yielding the …

Given a video, video grounding aims to retrieve a temporal moment that semantically corresponds to a language query. In this work, we …

Given a collection of untrimmed and unsegmented videos, video corpus moment retrieval (VCMR) is to retrieve a temporal moment (i.e., a …