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05/24/2023
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
Joint speech-language training is challenging due to the large demand fo...
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05/23/2023
i-Code Studio: A Configurable and Composable Framework for Integrative AI
Artificial General Intelligence (AGI) requires comprehensive understandi...
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05/21/2023
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data
The convergence of text, visual, and audio data is a key step towards hu...
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05/03/2022
i-Code: An Integrative and Composable Multimodal Learning Framework
Human intelligence is multimodal; we integrate visual, linguistic, and a...
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12/06/2021
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Most of today's AI systems focus on using self-attention mechanisms and ...
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11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
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10/20/2021
One model to enhance them all: array geometry agnostic multi-channel personalized speech enhancement
With the recent surge of video conferencing tools usage, providing high-...
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10/18/2021
Personalized Speech Enhancement: New Models and Comprehensive Evaluation
Personalized speech enhancement (PSE) models utilize additional cues, su...
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01/19/2021
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
In this paper, we propose a unified pre-training approach called UniSpee...
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12/09/2020
Fusing Context Into Knowledge Graph for Commonsense Reasoning
Commonsense reasoning requires a model to make presumptions about world ...
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10/18/2020
Mixed-Lingual Pre-training for Cross-lingual Summarization
Cross-lingual Summarization (CLS) aims at producing a summary in the tar...
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06/27/2020
Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization
Neural models have become successful at producing abstractive summaries ...
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04/04/2020
End-to-End Abstractive Summarization for Meetings
With the abundance of automatic meeting transcripts, meeting summarizati...
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03/19/2020
Boosting Factual Correctness of Abstractive Summarization
A commonly observed problem with abstractive summarization is the distor...
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03/19/2020
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph
A commonly observed problem with abstractive summarization is the distor...
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01/03/2020
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
Text summarization aims to extract essential information from a piece of...
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12/25/2019
Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization
Lead bias is a common phenomenon in news summarization, where early part...
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12/10/2019
Advances in Online Audio-Visual Meeting Transcription
This paper describes a system that generates speaker-annotated transcrip...
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09/26/2019
SIM: A Slot-Independent Neural Model for Dialogue State Tracking
Dialogue state tracking is an important component in task-oriented dialo...
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05/03/2019
Meeting Transcription Using Virtual Microphone Arrays
We describe a system that generates speaker-annotated transcripts of mee...
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12/10/2018
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Conversational question answering (CQA) is a novel QA task that requires...
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03/15/2018