research
∙
05/29/2023
Self Information Update for Large Language Models through Mitigating Exposure Bias
Current LLMs have demonstrated remarkable capabilities in addressing use...
share
research
∙
05/19/2023
RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought
Large language Models (LLMs) have achieved promising performance on arit...
research
∙
09/13/2022
SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias
Real-time music accompaniment generation has a wide range of application...
research
∙
11/09/2020
MUSE: Illustrating Textual Attributes by Portrait Generation
We propose a novel approach, MUSE, to illustrate textual attributes visu...
research
∙
02/18/2019
AuxBlocks: Defense Adversarial Example via Auxiliary Blocks
Deep learning models are vulnerable to adversarial examples, which poses...
research
∙
10/24/2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
We present a Few-Shot Relation Classification Dataset (FewRel), consisti...
research
∙
11/09/2017