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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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05/19/2023
Any-to-Any Generation via Composable Diffusion
We present Composable Diffusion (CoDi), a novel generative model capable...
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05/17/2023
Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead
The Internet of Production (IoP) leverages concepts such as digital shad...
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05/04/2023
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Large Language Models (LLMs) have shown impressive performance as genera...
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03/20/2023
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
We propose MM-REACT, a system paradigm that integrates ChatGPT with a po...
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03/20/2023
Code-Switching Text Generation and Injection in Mandarin-English ASR
Code-switching speech refers to a means of expression by mixing two or m...
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10/28/2022
A comprehensive study on self-supervised distillation for speaker representation learning
In real application scenarios, it is often challenging to obtain a large...
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09/21/2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Knowledge-intensive tasks, such as open-domain question answering (QA), ...
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06/03/2022
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning
People say, "A picture is worth a thousand words". Then how can we get t...
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05/18/2022
Automatic Rule Induction for Efficient Semi-Supervised Learning
Semi-supervised learning has shown promise in allowing NLP models to gen...
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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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04/13/2022
Impossible Triangle: What's Next for Pre-trained Language Models?
Recent development of large-scale pre-trained language models (PLM) have...
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01/13/2022
CLIP-Event: Connecting Text and Images with Event Structures
Vision-language (V+L) pretraining models have achieved great success in ...
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12/10/2021
Sequence-level self-learning with multiple hypotheses
In this work, we develop new self-learning techniques with an attention-...
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12/08/2021
MLP Architectures for Vision-and-Language Modeling: An Empirical Study
We initiate the first empirical study on the use of MLP architectures fo...
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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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11/03/2021
An Empirical Study of Training End-to-End Vision-and-Language Transformers
Vision-and-language (VL) pre-training has proven to be highly effective ...
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10/26/2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Self-supervised learning (SSL) achieves great success in speech recognit...
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10/23/2021
Optimizing Alignment of Speech and Language Latent Spaces for End-to-End Speech Recognition and Understanding
The advances in attention-based encoder-decoder (AED) networks have brou...
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10/19/2021
PI(t)D(t) Control and Motion Profiling for Omnidirectional Mobile Robots
Recently, a trend is emerging toward human-servicing autonomous mobile r...
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10/16/2021
Leveraging Knowledge in Multilingual Commonsense Reasoning
Commonsense reasoning (CSR) requires the model to be equipped with gener...
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10/13/2021
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
Pre-trained language models (PLMs) aim to learn universal language repre...
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10/12/2021
Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification
The speech representations learned from large-scale unlabeled data have ...
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10/08/2021
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
Current Open-Domain Question Answering (ODQA) model paradigm often conta...
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09/01/2021
Does Knowledge Help General NLU? An Empirical Study
It is often observed in knowledge-centric tasks (e.g., common sense ques...
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07/25/2021
A Joint and Domain-Adaptive Approach to Spoken Language Understanding
Spoken Language Understanding (SLU) is composed of two subtasks: intent ...
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02/22/2021
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
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02/12/2021
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders
Recently, universal neural machine translation (NMT) with shared encoder...
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02/11/2021
Speech-language Pre-training for End-to-end Spoken Language Understanding
End-to-end (E2E) spoken language understanding (SLU) can infer semantics...
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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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10/21/2020
LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition
LSTM language models (LSTM-LMs) have been proven to be powerful and yiel...
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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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10/05/2020
Semi-Supervised Speech-Language Joint Pre-Training for Spoken Language Understanding
Spoken language understanding (SLU) requires a model to analyze input ac...
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10/02/2020
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
Knowledge graphs (KGs) contain rich information about world knowledge, e...
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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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06/03/2020
Meta Dialogue Policy Learning
Dialog policy determines the next-step actions for agents and hence is c...
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04/29/2020
Data Augmentation for Spoken Language Understanding via Pretrained Models
The training of spoken language understanding (SLU) models often faces t...
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04/09/2020
Improving Readability for Automatic Speech Recognition Transcription
Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
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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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02/27/2020
Few-shot Natural Language Generation for Task-Oriented Dialog
As a crucial component in task-oriented dialog systems, the Natural Lang...
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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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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
