Zhaopeng Tu

According to our database1, Zhaopeng Tu authored at least 151 papers between 2009 and 2024.

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Bibliography

2024
How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.
CoRR, 2024

VN Network: Embedding Newly Emerging Entities with Virtual Neighbors.
CoRR, 2024

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models.
CoRR, 2024

Unsupervised Sign Language Translation and Generation.
CoRR, 2024

Revisiting the Markov Property for Machine Translation.
CoRR, 2024

GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding.
CoRR, 2024

Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model.
CoRR, 2024

Benchmarking LLMs via Uncertainty Quantification.
CoRR, 2024

Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models.
CoRR, 2024

The Earth is Flat? Unveiling Factual Errors in Large Language Models.
CoRR, 2024

Revisiting the Markov Property for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
A benchmark dataset and evaluation methodology for Chinese zero pronoun translation.
Lang. Resour. Evaluation, September, 2023

Search-engine-augmented dialogue response generation with cheaply supervised query production.
Artif. Intell., June, 2023

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation.
CoRR, 2023

Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models.
CoRR, 2023

A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging.
CoRR, 2023

Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models.
CoRR, 2023

Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench.
CoRR, 2023

All Languages Matter: On the Multilingual Safety of Large Language Models.
CoRR, 2023

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher.
CoRR, 2023

Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench.
CoRR, 2023

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling.
CoRR, 2023

On the Cultural Gap in Text-to-Image Generation.
CoRR, 2023

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.
CoRR, 2023

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.
CoRR, 2023

Exploring Human-Like Translation Strategy with Large Language Models.
CoRR, 2023

ParroT: Translating During Chat Using Large Language Models.
CoRR, 2023

Is ChatGPT A Good Translator? A Preliminary Study.
CoRR, 2023

Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs.
Proceedings of the Eighth Conference on Machine Translation, 2023

The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks.
Proceedings of the 20th International Conference on Spoken Language Translation, 2023

Towards a Unified Training for Levenshtein Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-modality Data Augmentation for End-to-End Sign Language Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Document-Level Machine Translation with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Revisiting Non-Autoregressive Translation at Scale.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Survey on Zero Pronoun Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Learning to refine source representations for neural machine translation.
Int. J. Mach. Learn. Cybern., 2022

Understanding and Mitigating the Uncertainty in Zero-Shot Translation.
CoRR, 2022

Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages.
Proceedings of the Seventh Conference on Machine Translation, 2022

Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Template-based Method for Constrained Neural Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adapters for Enhanced Modeling of Multilingual Knowledge and Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Attending From Foresight: A Novel Attention Mechanism for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Context-aware Self-Attention Networks for Natural Language Processing.
Neurocomputing, 2021

On the diversity of multi-head attention.
Neurocomputing, 2021

Language Models are Good Translators.
CoRR, 2021

TranSmart: A Practical Interactive Machine Translation System.
CoRR, 2021

Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

Tencent Translation System for the WMT21 News Translation Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding and Improving Lexical Choice in Non-Autoregressive Translation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

On the Language Coverage Bias for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On the Copying Behaviors of Pre-Training for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Progressive Multi-Granularity Training for Non-Autoregressive Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Exploiting deep representations for natural language processing.
Neurocomputing, 2020

Robust Dialogue Utterance Rewriting as Sequence Tagging.
CoRR, 2020

Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models.
CoRR, 2020

Tencent Neural Machine Translation Systems for the WMT20 News Translation Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Auxiliary Template-Enhanced Generative Compatibility Modeling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

On the Sub-Layer Functionalities of Transformer Decoder.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

On the Sparsity of Neural Machine Translation Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Emotion Classification by Jointly Learning to Lexiconize and Classify.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Rethinking the Value of Transformer Components.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Context-Aware Cross-Attention for Non-Autoregressive Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

VN Network: Embedding Newly Emerging Entities with Virtual Neighbors.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

On the Inference Calibration of Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

How Does Selective Mechanism Improve Self-Attention Networks?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Neuron Interaction Based Representation Composition for Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation.
CoRR, 2019

Convolutional Self-Attention Networks.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Information Aggregation for Multi-Head Attention with Routing-by-Agreement.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Modeling Recurrence for Transformer.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Dynamic Past and Future for Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Self-Attention with Structural Position Representations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

One Model to Learn Both: Zero Pronoun Prediction and Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Understanding Neural Machine Translation with Word Importance.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Granularity Self-Attention for Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Assessing the Ability of Self-Attention Networks to Learn Word Order.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Exploiting Sentential Context for Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Context-Aware Self-Attention Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Neural Machine Translation with Adequacy-Oriented Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Modeling Past and Future for Neural Machine Translation.
Trans. Assoc. Comput. Linguistics, 2018

Learning to Remember Translation History with a Continuous Cache.
Trans. Assoc. Comput. Linguistics, 2018

Learning to Refine Source Representations for Neural Machine Translation.
CoRR, 2018

Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory.
CoRR, 2018

Generative Stock Question Answering.
CoRR, 2018

Target Foresight Based Attention for Neural Machine Translation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural Machine Translation with Key-Value Memory-Augmented Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Modeling Localness for Self-Attention Networks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Multi-Head Attention with Disagreement Regularization.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Exploiting Deep Representations for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Towards Robust Neural Machine Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Translating Pro-Drop Languages With Reconstruction Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Context Gates for Neural Machine Translation.
Trans. Assoc. Comput. Linguistics, 2017

A novel and robust approach for pro-drop language translation.
Mach. Transl., 2017

Modeling Past and Future for Neural Machine Translation.
CoRR, 2017

Semantics-Enhanced Task-Oriented Dialogue Translation: A Case Study on Hotel Booking.
Proceedings of the IJCNLP 2017, Tapei, Taiwan, November 27, 2017

Translating Phrases in Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Exploiting Cross-Sentence Context for Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Chunk-Based Bi-Scale Decoder for Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Modeling Source Syntax for Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Neural Machine Translation Advised by Statistical Machine Translation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Neural Machine Translation with Reconstruction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Coverage-based Neural Machine Translation.
CoRR, 2016

A Novel Approach to Dropped Pronoun Translation.
Proceedings of the NAACL HLT 2016, 2016

Automatic Construction of Discourse Corpora for Dialogue Translation.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Do Contexts Help in Phrase-Based, Statistical Source Code Migration?
Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

On the "naturalness" of buggy code.
Proceedings of the 38th International Conference on Software Engineering, 2016

Dropped pronoun generation for dialogue machine translation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Modeling Coverage for Neural Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Context-Dependent Translation Selection Using Convolutional Neural Network.
CoRR, 2015

On the "Naturalness" of Buggy Code.
CoRR, 2015

Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning.
CoRR, 2015

CACHECA: A Cache Language Model Based Code Suggestion Tool.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Context-Dependent Translation Selection Using Convolutional Neural Network.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
On the localness of software.
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014

2013
A Simple, Fast Strategy for Weighted Alignment Hypergraph.
Proceedings of the Natural Language Processing and Chinese Computing, 2013

A Novel Graph-based Compact Representation of Word Alignment.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Using Syntactic Head Information in Hierarchical Phrase-Based Translation.
Proceedings of the Seventh Workshop on Statistical Machine Translation, 2012

Combining Multiple Alignments to Improve Machine Translation.
Proceedings of the COLING 2012, 2012

Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Head-Driven Hierarchical Phrase-based Translation.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Extracting Hierarchical Rules from a Weighted Alignment Matrix.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

2010
Dependency Forest for Statistical Machine Translation.
Proceedings of the COLING 2010, 2010

2009
The ICT statistical machine translation system for the IWSLT 2009.
Proceedings of the 6th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2009, 2009

The ICT statistical machine translation systems for the IWSLT 2009.
Proceedings of the 2009 International Workshop on Spoken Language Translation, 2009


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