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06/14/2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Code Large Language Models (Code LLMs), such as StarCoder, have demonstr...
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05/08/2023
Augmented Large Language Models with Parametric Knowledge Guiding
Large Language Models (LLMs) have significantly advanced natural languag...
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02/06/2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval
Image-text retrieval (ITR) is a task to retrieve the relevant images/tex...
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12/02/2022
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
The spread of rumors along with breaking events seriously hinders the tr...
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09/29/2022
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
Existing fake news detection methods aim to classify a piece of news as ...
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04/19/2022
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks
Since 2017, the Transformer-based models play critical roles in various ...
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02/14/2022
I-Tuning: Tuning Language Models with Image for Caption Generation
Recently, tuning the pre-trained language model (PLM) in a parameter-eff...
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01/30/2022
VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training
Vision-and-language pre-trained models (VLMs) have achieved tremendous s...
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06/01/2021
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
Gender bias in word embeddings gradually becomes a vivid research field ...
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02/16/2021
Have Attention Heads in BERT Learned Constituency Grammar?
With the success of pre-trained language models in recent years, more an...
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11/09/2020
