Lemao Liu

Orcid: 0000-0003-3804-5768

According to our database1, Lemao Liu authored at least 124 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Datastore Distillation for Nearest Neighbor Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation.
Trans. Assoc. Comput. Linguistics, 2024

A Survey on the Honesty of Large Language Models.
CoRR, 2024

TF-Attack: Transferable and Fast Adversarial Attacks on Large Language Models.
CoRR, 2024

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt.
CoRR, 2024

The Reasonableness Behind Unreasonable Translation Capability of Large Language Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hint-Enhanced In-Context Learning Wakes Large Language Models Up For Knowledge-Intensive Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Rethinking Targeted Adversarial Attacks for Neural Machine Translation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Rethinking the Evaluation of In-Context Learning for LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Cross-lingual Contextualized Phrase Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Context Consistency between Training and Inference in Simultaneous Machine Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

On the Hallucination in Simultaneous Machine Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Discourse-Aware Graph Networks for Textual Logical Reasoning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning.
CoRR, 2023

Context Consistency between Training and Testing in Simultaneous Machine Translation.
CoRR, 2023

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
CoRR, 2023

ImSimCSE: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives.
CoRR, 2023

Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer.
CoRR, 2023

Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance.
CoRR, 2023

A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement.
CoRR, 2023

Findings of the Word-Level AutoCompletion Shared Task in WMT 2023.
Proceedings of the Eighth Conference on Machine Translation, 2023

Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Fairness-guided Few-shot Prompting for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Nearest Neighbor Machine Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Simple Yet Effective Approach to Structured Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Retrieval-Augmented Few-shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DistillCSE: Distilled Contrastive Learning for Sentence Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards General Error Diagnosis via Behavioral Testing in Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Rethinking Word-Level Auto-Completion in Computer-Aided Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Rethinking Translation Memory Augmented Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

On the Compositional Generalization in Versatile Open-domain Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Efficient Sub-structured Knowledge Distillation.
CoRR, 2022

Revisiting the Evaluation Metrics of Paraphrase Generation.
CoRR, 2022

A Survey on Retrieval-Augmented Text Generation.
CoRR, 2022

Rethink Stealthy Backdoor Attacks in Natural Language Processing.
CoRR, 2022

Findings of the Word-Level AutoCompletion Shared Task in WMT 2022.
Proceedings of the Seventh Conference on Machine Translation, 2022

Recent Advances in Retrieval-Augmented Text Generation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On Synthetic Data for Back Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Evaluation Metrics for Paraphrase Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Neural Machine Translation with Contrastive Translation Memories.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Visualizing the Relationship Between Encoded Linguistic Information and Task Performance.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Rethinking Negative Sampling for Handling Missing Entity Annotations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Detecting Source Contextual Barriers for Understanding Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

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

Injecting Numerical Reasoning Skills into Knowledge Base Question Answering Models.
CoRR, 2021

Rethinking Negative Sampling for Unlabeled Entity Problem in Named Entity Recognition.
CoRR, 2021

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

Neural Sequence Segmentation as Determining the Leftmost Segments.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.
Proceedings of the 9th International Conference on Learning Representations, 2021

Fine-grained Entity Typing without Knowledge Base.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Segmenting Natural Language Sentences via Lexical Unit Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Assessing Dialogue Systems with Distribution Distances.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Engage the Public: Poll Question Generation for Social Media Posts.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

TexSmart: A System for Enhanced Natural Language Understanding.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Fast and Accurate Neural Machine Translation with Translation Memory.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Enhancing the Open-Domain Dialogue Evaluation in Latent Space.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

2020
Neural Machine Translation With Noisy Lexical Constraints.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Agreement on Target-Bidirectional Recurrent Neural Networks for Sequence-to-Sequence Learning.
J. Artif. Intell. Res., 2020

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis.
CoRR, 2020

Understanding Learning Dynamics for Neural Machine Translation.
CoRR, 2020

Detecting and Understanding Generalization Barriers for Neural Machine Translation.
CoRR, 2020

Touch Editing: A Flexible One-Time Interaction Approach for Translation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

On the Branching Bias of Syntax Extracted from Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Regularized Context Gates on Transformer for Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evaluating Explanation Methods for Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Neural Machine Translation with Noisy Lexical Constraints.
CoRR, 2019

Word Position Aware Translation Memory for Neural Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Understanding and Improving Hidden Representations for Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Multiple-source Entity Linking with Incomplete Sources.
Proceedings of the International Conference on Asian Language Processing, 2019

Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

On the Word Alignment from Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Graph Based Translation Memory for Neural Machine Translation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sentence Selection and Weighting for Neural Machine Translation Domain Adaptation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

A Neural Approach to Source Dependence Based Context Model for Statistical Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 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

Automatic Article Commenting: the Task and Dataset.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Improving Sequence-to-Sequence Constituency Parsing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Translation Quality Estimation Using Only Bilingual Corpora.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Improving Feature-Rich Transition-Based Constituent Parsing Using Recurrent Neural Networks.
IEICE Trans. Inf. Syst., 2017

Instance Weighting for Neural Machine Translation Domain Adaptation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Machine Translation with Source Dependency Representation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Deterministic Attention for Sequence-to-Sequence Constituent Parsing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Translation Prediction with Source Dependency-Based Context Representation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Agreement on Target-bidirectional Neural Machine Translation.
Proceedings of the NAACL HLT 2016, 2016

Local fisher discriminant analysis for spoken language identification.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Neural Machine Translation with Supervised Attention.
Proceedings of the COLING 2016, 2016

Target-Bidirectional Neural Models for Machine Transliteration.
Proceedings of the Sixth Named Entity Workshop, 2016

Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Neural Network Transduction Models in Transliteration Generation.
Proceedings of the Fifth Named Entity Workshop, 2015

2014
Discriminative Training for Log-Linear Based SMT: Global or Local Methods.
ACM Trans. Asian Lang. Inf. Process., 2014

Search-Aware Tuning for Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Scalable Large-Margin Structured Learning: Theory and Algorithms.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Tuning SMT with a Large Number of Features via Online Feature Grouping.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Additive Neural Networks for Statistical Machine Translation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Softmax-margin training for statistical machine translation.
Proceedings of the Eighth International Conference on Natural Computation, 2012

Locally Training the Log-Linear Model for SMT.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Expected Error Minimization with Ultraconservative Update for SMT.
Proceedings of the COLING 2012, 2012

2011
A head-annotated synchronous context-free grammar for hierarchical phrase-based translation.
Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

A Unified and Discriminative Soft Syntactic Constraint Model for Hierarchical Phrase-based Translation.
Proceedings of Machine Translation Summit XIII: Papers, 2011


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