NLPExplorer

Lidong Bing

Number of Papers:- 104

Number of Citations:- 45

First ACL Paper:- 2015

Latest ACL Paper:- 2024

Venues:-

NAACL

COLING

EMNLP

Findings

SCALE-LLM

ACL

EACL

IJCNLP

AACL

Co-Authors:-

Similar Authors:-

Sentiment Analysis in the Era of Large Language Models: A Reality Check F i n d i n g s - N A A C L

InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models SCALE-LLM WS

Yew Ken Chia | Pengfei Hong | Lidong Bing | Soujanya Poria |

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts ACL

Xuan-Phi Nguyen | Mahani Aljunied | Shafiq Joty | Lidong Bing |

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns F i n d i n g s - A C L

Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning NAACL

Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition ACL

Exploring the Potential of Large Language Models in Computational Argumentation ACL

Guizhen Chen | Liying Cheng | Anh Tuan Luu | Lidong Bing |

Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning F i n d i n g s - A C L

Qingyu Tan | Hwee Tou Ng | Lidong Bing |

SeaLLMs - Large Language Models for Southeast Asia ACL

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models F i n d i n g s - E M N L P

AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation EMNLP

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths F i n d i n g s - E M N L P

Evaluating Psychological Safety of Large Language Models EMNLP

Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction EACL

Jia Guo | Stanley Kok | Lidong Bing |

Enhancing Cross-lingual Prompting with Dual Prompt Augmentation F i n d i n g s - A C L

Meng Zhou | Xin Li | Yue Jiang | Lidong Bing |

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models EMNLP

Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization F i n d i n g s - E M N L P

Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data F i n d i n g s - A C L

Qingyu Tan | Lu Xu | Lidong Bing | Hwee Tou Ng |

Zero-Shot Text Classification via Self-Supervised Tuning F i n d i n g s - A C L

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction F i n d i n g s - A C L

A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization F i n d i n g s - E M N L P

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding EMNLP

Hang Zhang | Xin Li | Lidong Bing |

Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning EMNLP

Sen Yang | Xin Li | Lidong Bing | Wai Lam |

SOUL: Towards Sentiment and Opinion Understanding of Language EMNLP

Yue Deng | Wenxuan Zhang | Sinno Pan | Lidong Bing |

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations ACL

Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning ACL

Easy-to-Hard Learning for Information Extraction F i n d i n g s - A C L

Chang Gao | Wenxuan Zhang | Wai Lam | Lidong Bing |

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach F i n d i n g s - A C L

Is GPT-4 a Good Data Analyst? F i n d i n g s - E M N L P

Liying Cheng | Xingxuan Li | Lidong Bing |

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework ACL

Sampling Better Negatives for Distantly Supervised Named Entity Recognition F i n d i n g s - A C L

Lu Xu | Lidong Bing | Wei Lu |

Is GPT-3 a Good Data Annotator? ACL

mPMR: A Multilingual Pre-trained Machine Reader at Scale ACL

Weiwen Xu | Xin Li | Wai Lam | Lidong Bing |

Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling ACL

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks ACL

Reasoning Implicit Sentiment with Chain-of-Thought Prompting ACL

Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models ACL

Qingyu Tan | Hwee Tou Ng | Lidong Bing |

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis ACL

Yue Deng | Wenxuan Zhang | Sinno Jialin Pan | Lidong Bing |

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems ACL

MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ACL

MReD: A Meta-Review Dataset for Structure-Controllable Text Generation ACL Findings

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction ACL Findings

Yew Ken Chia | Lidong Bing | Soujanya Poria | Luo Si |

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks ACL

Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation ACL Findings

Qingyu Tan | Ruidan He | Lidong Bing | Hwee Tou Ng |

Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning COLING

Qingyu Tan | Ruidan He | Lidong Bing | Hwee Tou Ng |

SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning COLING

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings COLING

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach EMNLP

Interventional Training for Out-Of-Distribution Natural Language Understanding EMNLP

Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction EMNLP

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples EMNLP

ConNER: Consistency Training for Cross-lingual Named Entity Recognition EMNLP

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction EMNLP

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation EMNLP

SentBS: Sentence-level Beam Search for Controllable Summarization EMNLP

Better Feature Integration for Named Entity Recognition NAACL

Lu Xu | Zhanming Jie | Wei Lu | Lidong Bing |

Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding ACL IJCNLP

Liying Cheng | Tianyu Wu | Lidong Bing | Luo Si |

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction ACL IJCNLP

Lu Xu | Yew Ken Chia | Lidong Bing |

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation ACL IJCNLP

Towards Generative Aspect-Based Sentiment Analysis ACL IJCNLP

Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews ACL IJCNLP

Junhao Liu | Zhen Hai | Min Yang | Lidong Bing |

MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER ACL IJCNLP

Aspect Sentiment Quad Prediction as Paraphrase Generation EMNLP

Bootstrapped Unsupervised Sentence Representation Learning ACL IJCNLP

Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching EMNLP

Aspect-based Sentiment Analysis in Question Answering Forums EMNLP Findings

Multilingual AMR Parsing with Noisy Knowledge Distillation EMNLP Findings

Review-based Question Generation with Adaptive Instance Transfer and Augmentation ACL

Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling ACL

Canasai Kruengkrai | Thien Hai Nguyen | Sharifah Mahani Aljunied | Lidong Bing |

Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning AACL

Zihao Fu | Bei Shi | Lidong Bing | Wai Lam |

Dynamic Topic Tracker for KB-to-Text Generation COLING

Zihao Fu | Lidong Bing | Wai Lam | Shoaib Jameel |

Aspect Sentiment Classification with Aspect-Specific Opinion Spans EMNLP

Lu Xu | Lidong Bing | Wei Lu | Fei Huang |

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation EMNLP

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph EMNLP

Partially-Aligned Data-to-Text Generation with Distant Supervision EMNLP

APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning EMNLP

Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training EMNLP

Position-Aware Tagging for Aspect Sentiment Triplet Extraction EMNLP

Lu Xu | Hao Li | Wei Lu | Lidong Bing |

DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks EMNLP

An Unsupervised Sentence Embedding Method by Mutual Information Maximization EMNLP

Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning EMNLP

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion EMNLP

Hierarchical Pointer Net Parsing EMNLP

Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations EMNLP

Improving Question Generation With to the Point Context EMNLP

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning EMNLP

Semi-supervised Text Style Transfer: Cross Projection in Latent Space EMNLP

A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis EMNLP

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis EMNLP WS

Xin Li | Lidong Bing | Wenxuan Zhang | Wai Lam |

An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction NAACL

Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates EMNLP

Di Chen | Jiachen Du | Lidong Bing | Ruifeng Xu |

Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models EMNLP

Thanapon Noraset | Doug Downey | Lidong Bing |

Variational Autoregressive Decoder for Neural Response Generation EMNLP

QuaSE: Sequence Editing under Quantifiable Guidance EMNLP

Transformation Networks for Target-Oriented Sentiment Classification ACL

Xin Li | Lidong Bing | Wai Lam | Bei Shi |

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings ACL

Bei Shi | Zihao Fu | Lidong Bing | Wai Lam |

Recurrent Attention Network on Memory for Aspect Sentiment Analysis EMNLP

Peng Chen | Zhongqian Sun | Lidong Bing | Wei Yang |

Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization EMNLP

Deep Recurrent Generative Decoder for Abstractive Text Summarization EMNLP

Piji Li | Wai Lam | Lidong Bing | Zihao Wang |

Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset WS

Piji Li | Lidong Bing | Wai Lam |

Detecting Common Discussion Topics Across Culture From News Reader Comments ACL

Bei Shi | Wai Lam | Lidong Bing | Yinqing Xu |

Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction WS

Lidong Bing | William Cohen | Bhuwan Dhingra | Richard Wang |

evision PDF of 'Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists EMNLP

Lidong Bing | Sneha Chaudhari | Richard Wang | William Cohen |

Abstractive Multi-Document Summarization via Phrase Selection and Merging ACL IJCNLP