NLPExplorer

Liang Ding

Number of Papers:- 49

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

NAACL

COLING

EMNLP

Findings

ACL

WMT

IJCNLP

IWSLT

Co-Authors:-

Similar Authors:-

ROSE Doesn’t Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding F i n d i n g s - A C L

Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models F i n d i n g s - A C L

Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation ACL

Revisiting Knowledge Distillation for Autoregressive Language Models ACL

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation ACL

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding F i n d i n g s - A C L

Xintong Wang | Jingheng Pan | Liang Ding | Chris Biemann |

Uncertainty Aware Learning for Language Model Alignment ACL

DB-LLM: Accurate Dual-Binarization for Efficient LLMs F i n d i n g s - A C L

Revisiting Demonstration Selection Strategies in In-Context Learning ACL

OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models F i n d i n g s - A C L

Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models EMNLP

Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL F i n d i n g s - E M N L P

Revisiting Catastrophic Forgetting in Large Language Model Tuning F i n d i n g s - E M N L P

Hongyu Li | Liang Ding | Meng Fang | Dacheng Tao |

Self-Powered LLM Modality Expansion for Large Speech-Text Models EMNLP

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks EMNLP

PromptST: Abstract Prompt Learning for End-to-End Speech Translation EMNLP

CASN:Class-Aware Score Network for Textual Adversarial Detection ACL

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking ACL

Toward Human-Like Evaluation for Natural Language Generation with Error Analysis ACL

Self-Evolution Learning for Discriminative Language Model Pretraining F i n d i n g s - A C L

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training F i n d i n g s - A C L

Towards Making the Most of ChatGPT for Machine Translation F i n d i n g s - E M N L P

Merging Experts into One: Improving Computational Efficiency of Mixture of Experts EMNLP

TransGEC: Improving Grammatical Error Correction with Translationese F i n d i n g s - A C L

Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP

Token-Level Self-Evolution Training for Sequence-to-Sequence Learning ACL

Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL

PAD-Net: An Efficient Framework for Dynamic Networks ACL

MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning ACL IWSLT

Di Wu | Liang Ding | Shuo Yang | Mingyang Li |

Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation ACL

Interpretable Proof Generation via Iterative Backward Reasoning NAACL

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation COLING

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis COLING

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters F i n d i n g s - E M N L P

Vega-MT: The JD Explore Academy Machine Translation System for WMT22 WMT

Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models F i n d i n g s - E M N L P