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08/19/2023
AltDiffusion: A Multilingual Text-to-Image Diffusion Model
Large Text-to-Image(T2I) diffusion models have shown a remarkable capabi...
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07/18/2023
UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data
Recent advancements in Natural Language Processing (NLP) have witnessed ...
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03/27/2023
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Contrastive language-image pre-training, CLIP for short, has gained incr...
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11/14/2022
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
We launch EVA, a vision-centric foundation model to explore the limits o...
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11/12/2022
AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
In this work, we present a conceptually simple and effective method to t...
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08/19/2022
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer
Document retrieval has been extensively studied within the index-retriev...
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03/01/2022
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index
Web search provides a promising way for people to obtain information and...
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03/23/2021
Multilingual Autoregressive Entity Linking
We present mGENRE, a sequence-to-sequence system for the Multilingual En...
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05/01/2020
Multi-Dimensional Gender Bias Classification
Machine learning models are trained to find patterns in data. NLP models...
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04/10/2020
Dense Passage Retrieval for Open-Domain Question Answering
Open-domain question answering relies on efficient passage retrieval to ...
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11/10/2019
Zero-shot Entity Linking with Dense Entity Retrieval
We consider the zero-shot entity-linking challenge where each entity is ...
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03/28/2019
PyTorch-BigGraph: A Large-scale Graph Embedding System
Graph embedding methods produce unsupervised node features from graphs t...
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09/12/2017