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05/16/2023
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
Text-guided human motion generation has drawn significant interest becau...
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04/14/2023
Text-Conditional Contextualized Avatars For Zero-Shot Personalization
Recent large-scale text-to-image generation models have made significant...
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11/25/2022
SpaText: Spatio-Textual Representation for Controllable Image Generation
Recent text-to-image diffusion models are able to generate convincing re...
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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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05/14/2021
EASE: Extractive-Abstractive Summarization with Explanations
Current abstractive summarization systems outperform their extractive co...
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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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01/26/2021
El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing
Being able to parse code-switched (CS) utterances, such as Spanish+Engli...
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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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12/22/2020
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
Although pretrained language models can be fine-tuned to produce state-o...
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11/03/2020
Sound Natural: Content Rephrasing in Dialog Systems
We introduce a new task of rephrasing for a more natural virtual assista...
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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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09/28/2020
Conversational Semantic Parsing
The structured representation for semantic parsing in task-oriented assi...
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08/21/2020
MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark
Scaling semantic parsing models for task-oriented dialog systems to new ...
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08/06/2020
Better Fine-Tuning by Reducing Representational Collapse
Although widely adopted, existing approaches for fine-tuning pre-trained...
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12/30/2019
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection In Task Oriented Dialog
The task of identifying out-of-domain (OOD) input examples directly at t...
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11/12/2019
Improving Robustness of Task Oriented Dialog Systems
Task oriented language understanding in dialog systems is often modeled ...
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02/15/2019
Improving Semantic Parsing for Task Oriented Dialog
Semantic parsing using hierarchical representations has recently been pr...
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12/12/2018
PyText: A Seamless Path from NLP research to production
We introduce PyText - a deep learning based NLP modeling framework built...
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10/31/2018
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog
One of the first steps in the utterance interpretation pipeline of many ...
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10/18/2018