Fandong Meng

Orcid: 0000-0002-8158-2377

According to our database1, Fandong Meng authored at least 158 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Complex Question Enhanced Transfer Learning for Zero-Shot Joint Information Extraction.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
CoRR, 2024

Prompt-Driven LLM Safeguarding via Directed Representation Optimization.
CoRR, 2024

Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Teaching Large Language Models to Translate with Comparison.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Generative Multi-Modal Knowledge Retrieval with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-modal graph contrastive encoding for neural machine translation.
Artif. Intell., October, 2023

A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction.
CoRR, 2023

RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge.
CoRR, 2023

TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models.
CoRR, 2023

Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding.
CoRR, 2023

Plot Retrieval as an Assessment of Abstract Semantic Association.
CoRR, 2023

XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners.
CoRR, 2023

Large Language Models Are Not Robust Multiple Choice Selectors.
CoRR, 2023

Improving Translation Faithfulness of Large Language Models via Augmenting Instructions.
CoRR, 2023

Instruction Position Matters in Sequence Generation with Large Language Models.
CoRR, 2023

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.
CoRR, 2023

Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation.
CoRR, 2023

Towards Codable Text Watermarking for Large Language Models.
CoRR, 2023

TIM: Teaching Large Language Models to Translate with Comparison.
CoRR, 2023

D<sup>2</sup>TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization.
CoRR, 2023

Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion.
CoRR, 2023

WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents.
CoRR, 2023

Investigating Forgetting in Pre-Trained Representations Through Continual Learning.
CoRR, 2023

BranchNorm: Robustly Scaling Extremely Deep Transformers.
CoRR, 2023

Unified Model Learning for Various Neural Machine Translation.
CoRR, 2023

Is ChatGPT a Good NLG Evaluator? A Preliminary Study.
CoRR, 2023

Cross-Lingual Summarization via ChatGPT.
CoRR, 2023

Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning.
CoRR, 2023

Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Understanding Translationese in Cross-Lingual Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

D²TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Soft Language Clustering for Multilingual Model Pre-training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Personality Understanding of Fictional Characters during Book Reading.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Consistency Regularization Training for Compositional Generalization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Towards Unifying Multi-Lingual and Cross-Lingual Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
An AST Structure Enhanced Decoder for Code Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

A Survey on Cross-Lingual Summarization.
Trans. Assoc. Comput. Linguistics, 2022

MKGN: A Multi-Dimensional Knowledge Enhanced Graph Network for Multi-Hop Question and Answering.
IEICE Trans. Inf. Syst., 2022

DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding.
CoRR, 2022

CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME.
CoRR, 2022

Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement.
CoRR, 2022

Probing Causes of Hallucinations in Neural Machine Translations.
CoRR, 2022

Spot the Difference: A Cooperative Object-Referring Game in Non-Perfectly Co-Observable Scene.
CoRR, 2022

Towards Robust Online Dialogue Response Generation.
CoRR, 2022

Emotional conversation generation with heterogeneous graph neural network.
Artif. Intell., 2022

Findings of the WMT 2022 Shared Task on Translation Suggestion.
Proceedings of the Seventh Conference on Machine Translation, 2022

BJTU-WeChat's Systems for the WMT22 Chat Translation Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Visual Dialog for Spotting the Differences between Pairs of Similar Images.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

WeTS: A Benchmark for Translation Suggestion.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Robust k-Nearest-Neighbor Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TSAM: A Two-Stream Attention Model for Causal Emotion Entailment.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Categorizing Semantic Representations for Neural Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Variational Hierarchical Model for Neural Cross-Lingual Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

MSCTD: A Multimodal Sentiment Chat Translation Dataset.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Scheduled Multi-task Learning for Neural Chat Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection.
Neurocomputing, 2021

Simulated annealing for optimization of graphs and sequences.
Neurocomputing, 2021

A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis.
Neurocomputing, 2021

Rethinking the Evaluation of Neural Machine Translation.
CoRR, 2021

Sequence-Level Training for Non-Autoregressive Neural Machine Translation.
Comput. Linguistics, 2021

WeChat Neural Machine Translation Systems for WMT21.
Proceedings of the Sixth Conference on Machine Translation, 2021

Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Competence-based Curriculum Learning for Multilingual Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Scheduled Sampling Based on Decoding Steps for Neural Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Towards Making the Most of Dialogue Characteristics for Neural Chat Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Bilingual Mutual Information Based Adaptive Training 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

GTM: A Generative Triple-wise Model for Conversational Question Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Prevent the Language Model from being Overconfident in 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

Confidence-Aware Scheduled Sampling for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Modeling Bilingual Conversational Characteristics for Neural Chat Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Exploring Dynamic Selection of Branch Expansion Orders for Code Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Unsupervised Knowledge Selection for Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

GoG: Relation-aware Graph-over-Graph Network for Visual Dialog.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Selective Knowledge Distillation 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

Faster Depth-Adaptive Transformers.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection.
CoRR, 2020

Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis.
CoRR, 2020

Dual Past and Future for Neural Machine Translation.
CoRR, 2020

Explicitly Modeling Adaptive Depths for Transformer.
CoRR, 2020

Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization.
CoRR, 2020

An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis.
CoRR, 2020

Depth-Adaptive Graph Recurrent Network for Text Classification.
CoRR, 2020

WeChat Neural Machine Translation Systems for WMT20.
Proceedings of the Fifth Conference on Machine Translation, 2020

Dynamic Context-guided Capsule Network for Multimodal Machine Translation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Multi-Unit Transformers for Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Token-level Adaptive Training for Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Unsupervised Paraphrasing by Simulated Annealing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Zone Unit for Recurrent Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation.
CoRR, 2019

Semantic Graph Convolutional Network for Implicit Discourse Relation Classification.
CoRR, 2019

Ranking Like Human: Global-View Matching via Reinforcement Learning for Answer Selection.
Proceedings of the International Conference on Asian Language Processing, 2019

Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Bridging the Gap between Training and Inference for Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Incremental Transformer with Deliberation Decoder for Document Grounded Conversations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DTMT: A Novel Deep Transition Architecture for Neural Machine Translation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

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

2016
Neural Machine Translation with External Phrase Memory.
CoRR, 2016

Topic-based term translation models for statistical machine translation.
Artif. Intell., 2016

MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Interactive Attention for Neural Machine Translation.
Proceedings of the COLING 2016, 2016

Is Local Window Essential for Neural Network Based Chinese Word Segmentation?
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2016

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

Encoding Source Language with Convolutional Neural Network for Machine Translation.
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
Modeling Term Translation for Document-informed Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Dependency Edge-based Transfer Model for Statistical Machine Translation.
Proceedings of the COLING 2014, 2014

2013
Translation with Source Constituency and Dependency Trees.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
ICT: A Translation based Method for Cross-lingual Textual Entailment.
Proceedings of the 6th International Workshop on Semantic Evaluation, 2012

Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Discriminative Boosting from Dictionary and Raw Text - A Novel Approach to Build A Chinese Word Segmenter.
Proceedings of the COLING 2012, 2012

2011
The <i>ICT</i>'s Patent MT System Description for NTCIR-9.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011

ETS: An Error Tolerable System for Coreference Resolution.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011


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