b'Min Zhang'

research

∙ 05/27/2023

Disambiguated Lexically Constrained Neural Machine Translation

Lexically constrained neural machine translation (LCNMT), which controls...

0 Jinpeng Zhang, et al. ∙

research

∙ 05/26/2023

A Tale of Two Approximations: Tightening Over-Approximation for DNN Robustness Verification via Under-Approximation

The robustness of deep neural networks (DNNs) is crucial to the hosting ...

0 Zhiyi Xue, et al. ∙

research

∙ 05/26/2023

Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation

k-Nearest neighbor machine translation (kNN-MT) has attracted increasing...

0 Zhiwei Cao, et al. ∙

research

∙ 05/25/2023

NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts

We introduce NaSGEC, a new dataset to facilitate research on Chinese gra...

0 Yue Zhang, et al. ∙

research

∙ 05/25/2023

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization

Domain generalization (DG) is a prevalent problem in real-world applicat...

0 Yunze Tong, et al. ∙

research

∙ 05/25/2023

FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients

Federated Learning (FL) is a distributed learning paradigm that empowers...

0 Min Zhang, et al. ∙

research

∙ 05/24/2023

Revisiting Token Dropping Strategy in Efficient BERT Pretraining

Token dropping is a recently-proposed strategy to speed up the pretraini...

0 Qihuang Zhong, et al. ∙

research

∙ 05/22/2023

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination

As ChatGPT and GPT-4 spearhead the development of Large Language Models ...

0 Dongfang Li, et al. ∙

research

∙ 05/22/2023

CopyNE: Better Contextual ASR by Copying Named Entities

Recent years have seen remarkable progress in automatic speech recogniti...

0 Shilin Zhou, et al. ∙

research

∙ 05/21/2023

A Pilot Study on Dialogue-Level Dependency Parsing for Chinese

Dialogue-level dependency parsing has received insufficient attention, e...

0 Gongyao Jiang, et al. ∙

research

∙ 05/20/2023

Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction

Latest efforts on cross-lingual relation extraction (XRE) aggressively l...

0 Hao Fei, et al. ∙

research

∙ 05/20/2023

Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination

In this work, we investigate a more realistic unsupervised multimodal ma...

0 Hao Fei, et al. ∙

research

∙ 05/19/2023

Generating Visual Spatial Description via Holistic 3D Scene Understanding

Visual spatial description (VSD) aims to generate texts that describe th...

0 Yu Zhao, et al. ∙

research

∙ 05/08/2023

Toward Adversarial Training on Contextualized Language Representation

Beyond the success story of adversarial training (AT) in the recent text...

0 Hongqiu Wu, et al. ∙

research

∙ 05/08/2023

A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues

Conditional inference on joint textual and visual clues is a multi-modal...

0 Yunxin Li, et al. ∙

research

∙ 05/08/2023

Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!

Diffusion models have been successfully adapted to text generation tasks...

0 Zecheng Tang, et al. ∙

research

∙ 05/05/2023

LMEye: An Interactive Perception Network for Large Language Models

Training a Large Visual Language Model (LVLM) from scratch, like GPT-4, ...

0 Yunxin Li, et al. ∙

research

∙ 05/03/2023

A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text

Pretrained Vision-Language Models (VLMs) have achieved remarkable perfor...

0 Yunxin Li, et al. ∙

research

∙ 04/25/2023

Test-Time Adaptation with Perturbation Consistency Learning

Currently, pre-trained language models (PLMs) do not cope well with the ...

0 Yi Su, et al. ∙

research

∙ 04/15/2023

Intent-aware Ranking Ensemble for Personalized Recommendation

Ranking ensemble is a critical component in real recommender systems. Wh...

0 Jiayu Li, et al. ∙

research

∙ 04/13/2023

LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model

Universally modeling all typical information extraction tasks (UIE) with...

0 Hao Fei, et al. ∙

research

∙ 03/24/2023

Towards Making the Most of ChatGPT for Machine Translation

ChatGPT shows remarkable capabilities for machine translation (MT). Seve...

0 Keqin Peng, et al. ∙

research

∙ 03/21/2023

Boosting Verified Training for Robust Image Classifications via Abstraction

This paper proposes a novel, abstraction-based, certified training metho...

0 Zhaodi Zhang, et al. ∙

research

∙ 03/20/2023

Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning

Neural machine translation (NMT) has achieved remarkable success in prod...

0 Rongxiang Weng, et al. ∙

research

∙ 03/20/2023

A Tiny Machine Learning Model for Point Cloud Object Classification

The design of a tiny machine learning model, which can be deployed in mo...

0 Min Zhang, et al. ∙

research

∙ 03/14/2023

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening

Under the flourishing development in performance, current image-text ret...

0 Min Cao, et al. ∙

research

∙ 03/14/2023

RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer

Non-autoregressive neural machine translation (NAT) models are proposed ...

0 Pei Guo, et al. ∙

research

∙ 03/13/2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model

Transformer-based autoregressive (AR) methods have achieved appealing pe...

0 Yisheng Xiao, et al. ∙

research

∙ 03/12/2023

RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning

Gradient-based meta-learning (GBML) algorithms are able to fast adapt to...

0 Min Zhang, et al. ∙

research

∙ 03/12/2023

Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation

Non-autoregressive translation (NAT) reduces the decoding latency but su...

0 Zhengrui Ma, et al. ∙

research

∙ 03/02/2023

The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting

Knowing the learning dynamics of policy is significant to unveiling the ...

0 Hongyao Tang, et al. ∙

research

∙ 02/22/2023

S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification

Many point cloud classification methods are developed under the assumpti...

0 Pranav Kadam, et al. ∙

research

∙ 01/30/2023

KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation

BERTScore is an effective and robust automatic metric for referencebased...

0 Zhanglin Wu, et al. ∙

research

∙ 01/27/2023

OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks

Occlusion is a prevalent and easily realizable semantic perturbation to ...

0 Xingwu Guo, et al. ∙

research

∙ 01/27/2023

A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation

Neural chat translation (NCT) aims to translate a cross-lingual chat bet...

0 Chulun Zhou, et al. ∙

research

∙ 12/22/2022

Nonconforming finite element methods of order two and order three for the Stokes flow in three dimensions

In this study, the nonconforming finite elements of order two and order ...

0 Wei Chen, et al. ∙

research

∙ 12/22/2022

SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Estimation

Recently, over-height vehicle strike frequently occurs, causing great ec...

0 Zhaoxin Fan, et al. ∙

research

∙ 12/16/2022

Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation

Multi-modal and multi-hop question answering aims to answer a question b...

0 Qian Yang, et al. ∙

research

∙ 12/12/2022

P-Transformer: Towards Better Document-to-Document Neural Machine Translation

Directly training a document-to-document (Doc2Doc) neural machine transl...

0 Yachao Li, et al. ∙

research

∙ 12/10/2022

QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks

Deep learning has become a promising programming paradigm in software de...

0 Yedi Zhang, et al. ∙

research

∙ 12/08/2022

ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation

Transfer learning is a simple and powerful method that can be used to bo...

0 Zhaocong Li, et al. ∙

research

∙ 12/02/2022

Improving Simultaneous Machine Translation with Monolingual Data

Simultaneous machine translation (SiMT) is usually done via sequence-lev...

0 Hexuan Deng, et al. ∙

research

∙ 11/23/2022

Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling

Existing research generally treats Chinese character as a minimum unit f...

0 Zhijun Wang, et al. ∙

research

∙ 11/21/2022

DualApp: Tight Over-Approximation for Neural Network Robustness Verification via Under-Approximation

The robustness of neural networks is fundamental to the hosting system's...

0 Yiting Wu, et al. ∙

research

∙ 11/21/2022

BBReach: Tight and Scalable Black-Box Reachability Analysis of Deep Reinforcement Learning Systems

Reachability analysis is a promising technique to automatically prove or...

0 Jiaxu Tian, et al. ∙

research

∙ 11/13/2022

WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation

Keyphrase generation aims to automatically generate short phrases summar...

0 Binbin Xie, et al. ∙

research

∙ 11/08/2022

Third-Party Aligner for Neural Word Alignments

Word alignment is to find translationally equivalent words between sourc...

0 Jinpeng Zhang, et al. ∙

research

∙ 11/03/2022

Revisiting Grammatical Error Correction Evaluation and Beyond

Pretraining-based (PT-based) automatic evaluation metrics (e.g., BERTSco...

0 Peiyuan Gong, et al. ∙

research

∙ 10/31/2022

Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change

Recent research has revealed that neural language models at scale suffer...

0 Zhaochen Su, et al. ∙

research

∙ 10/31/2022

Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data

Chinese word segmentation (CWS) models have achieved very high performan...

0 Lei Zhang, et al. ∙

Min Zhang

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