Large language models (LLMs) have shown remarkable abilities to generate...
In this paper, we propose a novel framework to pre-train language models...
Contrast consistency, the ability of a model to make consistently correc...
Large language models (LLMs) exhibit remarkable performance across vario...
Document retrieval is a key stage of standard Web search engines. Existi...
The BigCode community, an open-scientific collaboration working on the
r...
A common thread of retrieval-augmented methods in the existing literatur...
Entities, as important carriers of real-world knowledge, play a key role...
Recommender systems employ machine learning models to learn from histori...
Multi-task learning (MTL) has become increasingly popular in natural lan...
Generative commonsense reasoning (GCR) in natural language is to reason ...
We focus on the task of procedural text understanding, which aims to tra...
We present a novel framework, Spatial Pyramid Attention Network (SPAN) f...
Most graph neural network models learn embeddings of nodes in static
att...
We focus on the task of Automatic Live Video Commenting (ALVC), which ai...