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06/08/2023
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
Weight-sharing supernet has become a vital component for performance est...
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06/02/2023
Binary and Ternary Natural Language Generation
Ternary and binary neural networks enable multiplication-free computatio...
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05/29/2023
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
Several post-training quantization methods have been applied to large la...
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05/23/2023
Text-guided 3D Human Generation from 2D Collections
3D human modeling has been widely used for engaging interaction in gamin...
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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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03/09/2023
3DGen: Triplane Latent Diffusion for Textured Mesh Generation
Latent diffusion models for image generation have crossed a quality thre...
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03/07/2023
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding
Indoor scene synthesis involves automatically picking and placing furnit...
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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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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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10/25/2022
Bridging the Training-Inference Gap for Dense Phrase Retrieval
Building dense retrievers requires a series of standard procedures, incl...
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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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05/25/2022
BiT: Robustly Binarized Multi-distilled Transformer
Modern pre-trained transformers have rapidly advanced the state-of-the-a...
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12/18/2021
The Web Is Your Oyster – Knowledge-Intensive NLP against a Very Large Web Corpus
In order to address the increasing demands of real-world applications, t...
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12/14/2021
Boosted Dense Retriever
We propose DrBoost, a dense retrieval ensemble inspired by boosting. DrB...
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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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03/11/2021
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering
Question answering (QA) is an important use case on voice assistants. A ...
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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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01/01/2021
Multi-task Retrieval for Knowledge-Intensive Tasks
Retrieving relevant contexts from a large corpus is a crucial step for t...
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12/30/2020
Joint Verification and Reranking for Open Fact Checking Over Tables
Structured information is an important knowledge source for automatic ve...
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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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09/27/2020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
We propose a simple and efficient multi-hop dense retrieval approach for...
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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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10/16/2019
MLQA: Evaluating Cross-lingual Extractive Question Answering
Question answering (QA) models have shown rapid progress enabled by the ...
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09/16/2019
Bridging the domain gap in cross-lingual document classification
The scarcity of labeled training data often prohibits the internationali...
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12/12/2018
