b'Xinyi Wang'

research

∙ 09/09/2023

FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning

Learning paradigms for large language models (LLMs) currently tend to fa...

0 Xinyi Wang, et al. ∙

research

∙ 08/31/2023

QuCAT: A Combinatorial Testing Tool for Quantum Software

With the increased developments in quantum computing, the availability o...

0 Xinyi Wang, et al. ∙

research

∙ 08/27/2023

Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids

Drones have been widely used in many areas of our daily lives. It reliev...

0 Xinyi Wang, et al. ∙

research

∙ 08/13/2023

UGC Quality Assessment: Exploring the Impact of Saliency in Deep Feature-Based Quality Assessment

The volume of User Generated Content (UGC) has increased in recent years...

0 Xinyi Wang, et al. ∙

research

∙ 08/10/2023

Test Case Minimization with Quantum Annealers

Quantum annealers are specialized quantum computers for solving combinat...

0 Xinyi Wang, et al. ∙

research

∙ 08/06/2023

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Large language models (LLMs) have demonstrated remarkable performance ac...

0 Liangming Pan, et al. ∙

research

∙ 07/21/2023

Sensing Aided Covert Communications: Turning Interference into Allies

In this paper, we investigate the realization of covert communication in...

0 Xinyi Wang, et al. ∙

research

∙ 07/12/2023

Air Bumper: A Collision Detection and Reaction Framework for Autonomous MAV Navigation

Autonomous navigation in unknown environments with obstacles remains cha...

0 Ruoyu Wang, et al. ∙

research

∙ 07/04/2023

OTFS-based Robust MMSE Precoding Design in Over-the-air Computation

Over-the-air computation (AirComp), as a data aggregation method that ca...

0 Dongkai Zhou, et al. ∙

research

∙ 05/23/2023

Evaluating and Modeling Attribution for Cross-Lingual Question Answering

Trustworthy answer content is abundant in many high-resource languages a...

0 Benjamin Müller, et al. ∙

research

∙ 05/23/2023

mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations

Multilingual sequence-to-sequence models perform poorly with increased l...

0 Jonas Pfeiffer, et al. ∙

research

∙ 05/21/2023

TheoremQA: A Theorem-driven Question Answering dataset

The recent LLMs like GPT-4 and PaLM-2 have made tremendous progress in s...

0 Wenhu Chen, et al. ∙

research

∙ 05/19/2023

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages

Data scarcity is a crucial issue for the development of highly multiling...

0 Sebastian Ruder, et al. ∙

research

∙ 05/18/2023

Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation

The field of text-to-image (T2I) generation has garnered significant att...

0 Wanrong Zhu, et al. ∙

research

∙ 05/12/2023

ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4

In recent years, large language models (LLMs) have made significant prog...

1 Zhengqing Yuan, et al. ∙

research

∙ 05/03/2023

Complexity and Enumeration in Models of Genome Rearrangement

In this paper, we examine the computational complexity of enumeration in...

0 Lora Bailey, et al. ∙

research

∙ 02/22/2023

Sampling-based path planning under temporal logic constraints with real-time adaptation

Replanning in temporal logic tasks is extremely difficult during the onl...

0 Yizhou Chen, et al. ∙

research

∙ 01/27/2023

Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning

In recent years, pre-trained large language models have demonstrated rem...

1 Xinyi Wang, et al. ∙

research

∙ 12/26/2022

A Survey of Face Recognition

Recent years witnessed the breakthrough of face recognition with deep co...

5 Xinyi Wang, et al. ∙

research

∙ 11/22/2022

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Recently, there has been significant progress in teaching language model...

0 Wenhu Chen, et al. ∙

research

∙ 10/31/2022

TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging

Diffusion Weighted Imaging (DWI) is an advanced imaging technique common...

0 Zihao Tang, et al. ∙

research

∙ 10/24/2022

Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach

We consider novelty detection in time series with unknown and nonparamet...

0 Xinyi Wang, et al. ∙

research

∙ 10/13/2022

A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models

Recent work on tokenizer-free multilingual pretrained models show promis...

0 Jimin Sun, et al. ∙

research

∙ 08/25/2022

Semantic Preserving Adversarial Attack Generation with Autoencoder and Genetic Algorithm

Widely used deep learning models are found to have poor robustness. Litt...

1 Xinyi Wang, et al. ∙

research

∙ 07/06/2022

A Comprehensive Review on Deep Supervision: Theories and Applications

Deep supervision, or known as 'intermediate supervision' or 'auxiliary s...

0 Renjie Li, et al. ∙

research

∙ 04/18/2022

QuSBT: Search-Based Testing of Quantum Programs

Generating a test suite for a quantum program such that it has the maxim...

0 Xinyi Wang, et al. ∙

research

∙ 03/17/2022

Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation

The performance of multilingual pretrained models is highly dependent on...

0 Xinyi Wang, et al. ∙

research

∙ 12/16/2021

Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets

Natural language inference (NLI) is an important task for producing usef...

11 Michael Saxon, et al. ∙

research

∙ 09/10/2021

Efficient Test Time Adapter Ensembling for Low-resource Language Varieties

Adapters are light-weight modules that allow parameter-efficient fine-tu...

0 Xinyi Wang, et al. ∙

research

∙ 08/13/2021

A Dataset for Answering Time-Sensitive Questions

Time is an important dimension in our physical world. Lots of facts can ...

0 Wenhu Chen, et al. ∙

research

∙ 06/23/2021

Innovations Autoencoder and its Application in Real-Time Anomaly Detection

An innovations sequence of a time series is a sequence of independent an...

0 Xinyi Wang, et al. ∙

research

∙ 06/11/2021

RefBERT: Compressing BERT by Referencing to Pre-computed Representations

Recently developed large pre-trained language models, e.g., BERT, have a...

10 Xinyi Wang, et al. ∙

research

∙ 06/07/2021

Counterfactual Maximum Likelihood Estimation for Training Deep Networks

Although deep learning models have driven state-of-the-art performance o...

13 Xinyi Wang, et al. ∙

research

∙ 04/29/2021

Applications of Artificial Intelligence to aid detection of dementia: a narrative review on current capabilities and future directions

With populations ageing, the number of people with dementia worldwide is...

0 Renjie Li, et al. ∙

research

∙ 03/15/2021

Multi-view Subword Regularization

Multilingual pretrained representations generally rely on subword segmen...

0 Xinyi Wang, et al. ∙

research

∙ 02/26/2021

Gradient-guided Loss Masking for Neural Machine Translation

To mitigate the negative effect of low quality training data on the perf...

0 Xinyi Wang, et al. ∙

research

∙ 02/15/2021

Meta Back-translation

Back-translation is an effective strategy to improve the performance of ...

0 Hieu Pham, et al. ∙

research

∙ 01/02/2021

Dimensions of Transparency in NLP Applications

Broader transparency in descriptions of and communication regarding AI s...

7 Michael Saxon, et al. ∙

research

∙ 10/04/2020

Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation

To improve the performance of Neural Machine Translation (NMT) for low-r...

0 Luyu Gao, et al. ∙

research

∙ 04/14/2020

Balancing Training for Multilingual Neural Machine Translation

When training multilingual machine translation (MT) models that can tran...

0 Xinyi Wang, et al. ∙

research

∙ 02/10/2020

A Probabilistic Formulation of Unsupervised Text Style Transfer

We present a deep generative model for unsupervised text style transfer ...

0 Junxian He, et al. ∙

research

∙ 11/22/2019

Optimizing Data Usage via Differentiable Rewards

To acquire a new skill, humans learn better and faster if a tutor, based...

11 Xinyi Wang, et al. ∙

research

∙ 11/21/2019

Improving Conditioning in Context-Aware Sequence to Sequence Models

Neural sequence to sequence models are well established for applications...

0 Xinyi Wang, et al. ∙

research

∙ 10/07/2019

Domain Differential Adaptation for Neural Machine Translation

Neural networks are known to be data hungry and domain sensitive, but it...

0 Zi-Yi Dou, et al. ∙

research

∙ 05/20/2019

Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation

To improve low-resource Neural Machine Translation (NMT) with multilingu...

0 Xinyi Wang, et al. ∙

research

∙ 03/19/2019

compare-mt: A Tool for Holistic Comparison of Language Generation Systems

In this paper, we describe compare-mt, a tool for holistic analysis and ...

0 Graham Neubig, et al. ∙

research

∙ 02/24/2019

The ARIEL-CMU Systems for LoReHLT18

This paper describes the ARIEL-CMU submissions to the Low Resource Human...

0 Aditi Chaudhary, et al. ∙

research

∙ 02/09/2019

Multilingual Neural Machine Translation With Soft Decoupled Encoding

Multilingual training of neural machine translation (NMT) systems has le...

0 Xinyi Wang, et al. ∙

research

∙ 08/28/2018

A Tree-based Decoder for Neural Machine Translation

Recent advances in Neural Machine Translation (NMT) show that adding syn...

0 Xinyi Wang, et al. ∙

research

∙ 08/22/2018

SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation

In this work, we examine methods for data augmentation for text-based ta...

0 Xinyi Wang, et al. ∙

Xinyi Wang

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