Recently, text watermarking algorithms for large language models (LLMs) ...
Evidence plays a crucial role in automated fact-checking. When verifying...
Cross-lingual natural language inference is a fundamental problem in
cro...
Named Entity Recognition (NER) is a well and widely studied task in natu...
Real-world fact verification task aims to verify the factuality of a cla...
Information Extraction (IE) aims to extract structured information from
...
We propose the first character-level white-box adversarial attack method...
Data augmentation techniques have been used to improve the generalizatio...
A scene graph is a semantic representation that expresses the objects,
a...
The generalizability to new databases is of vital importance to Text-to-...
Natural Language Inference (NLI) is a growingly essential task in natura...
Unsupervised relation extraction aims to extract the relationship betwee...
Program correctness used to be the main concern of computer software in ...
Natural language inference (NLI) is an increasingly important task for
n...
Future Event Generation aims to generate fluent and reasonable future ev...
Low-resource Relation Extraction (LRE) aims to extract relation facts fr...
Neural sequence models exhibit limited compositional generalization abil...
The real-world networks often compose of different types of nodes and ed...
The abundant semi-structured data on the Web, such as HTML-based tables ...
Open relation extraction is the task of extracting open-domain relation ...
Process consistency checking (PCC), an interdiscipline of natural langua...
Sharing process models on the web has emerged as a widely used concept. ...
An increasing number of works have devoted to the application of Transit...