While large language models (LLMs) exhibit impressive language understan...
Script Event Prediction (SEP) aims to predict the subsequent event for a...
Despite the advancements of open-source large language models (LLMs) and...
Instruction tuning has emerged as a promising approach to enhancing larg...
Software engineering is a domain characterized by intricate decision-mak...
Humans possess an extraordinary ability to create and utilize tools, all...
Cross-Domain Sequential Recommendation (CDSR) aims to predict future
int...
This paper studies the multimodal named entity recognition (MNER) and
mu...
Event Causality Identification (ECI), which aims to detect whether a
cau...
Recommender systems have been widely deployed in many real-world
applica...
Document-level Event Extraction (DEE) is particularly tricky due to the ...
Span extraction, aiming to extract text spans (such as words or phrases)...
This work investigates the problem of learning temporal interaction netw...
Event Detection, a fundamental task of Information Extraction, tends to
...
Event Detection (ED) aims to recognize instances of specified types of e...
Few-shot classification tends to struggle when it needs to adapt to dive...