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05/04/2023
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation
We propose a new two-stage pre-training framework for video-to-text gene...
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03/29/2023
Hierarchical Video-Moment Retrieval and Step-Captioning
There is growing interest in searching for information from large video ...
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02/15/2023
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval
Various techniques have been developed in recent years to improve dense ...
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12/02/2022
Nonparametric Masked Language Modeling
Existing language models (LMs) predict tokens with a softmax over a fini...
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11/18/2022
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
Multi-vector retrieval methods combine the merits of sparse (e.g. BM25) ...
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11/16/2022
Task-aware Retrieval with Instructions
We study the problem of retrieval with instructions, where users of a re...
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10/04/2022
A Study on the Efficiency and Generalization of Light Hybrid Retrievers
Existing hybrid retrievers which integrate sparse and dense retrievers, ...
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12/14/2021
Simple Local Attentions Remain Competitive for Long-Context Tasks
Many NLP tasks require processing long contexts beyond the length limit ...
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10/14/2021
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training
With the rise of large-scale pre-trained language models, open-domain qu...
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10/13/2021
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
Despite their recent popularity and well known advantages, dense retriev...
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07/28/2021
Domain-matched Pre-training Tasks for Dense Retrieval
Pre-training on larger datasets with ever increasing model size is now a...
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01/26/2021
Muppet: Massive Multi-task Representations with Pre-Finetuning
We propose pre-finetuning, an additional large-scale learning stage betw...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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12/29/2020
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge
We study open-domain question answering (ODQA) with structured, unstruct...
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10/07/2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
Task-oriented semantic parsing is a critical component of virtual assist...
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10/08/2018
Zero-Resource Multilingual Model Transfer: Learning What to Share
Modern natural language processing and understanding applications have e...
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08/27/2018
Unsupervised Multilingual Word Embeddings
Multilingual Word Embeddings (MWEs) represent words from multiple langua...
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02/15/2018
Multinomial Adversarial Networks for Multi-Domain Text Classification
Many text classification tasks are known to be highly domain-dependent. ...
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06/06/2016
