Reasoning is a cognitive process of using evidence to reach a sound
conc...
Instruction tuning has significantly advanced large language models (LLM...
We uncover a systematic bias in the evaluation paradigm of adopting larg...
Continual learning (CL) aims to constantly learn new knowledge over time...
Continual relation extraction (CRE) models aim at handling emerging new
...
Continual relation extraction (CRE) aims to continually learn new relati...
Continual relation extraction (CRE) requires the model to continually le...
Most previous studies aim at extracting events from a single sentence, w...
Hierarchical text classification (HTC) is a challenging subtask of
multi...
As Abstract Meaning Representation (AMR) implicitly involves compound
se...
In modern sales applications, automatic script extraction and management...
Hierarchical text classification is a challenging subtask of multi-label...
Abstract Meaning Representation (AMR) parsing translates sentences to th...
Few-Shot Sequence Labeling (FSSL) is a canonical solution for the taggin...
Few-Shot Event Classification (FSEC) aims at developing a model for even...
Aspect Sentiment Triplet Extraction (ASTE) aims to recognize targets, th...
Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from...
Text reviews can provide rich useful semantic information for modeling u...