NLPExplorer

Chenguang Zhu

Number of Papers:- 64

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

KnowledgeNLP

NAACL

SIGDIAL

EMNLP

Findings

TACL

FEVER

ACL

EACL

DLG4NLP

IJCNLP

AACL

Co-Authors:-

Similar Authors:-

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data F i n d i n g s - N A A C L

How Does In-Context Learning Help Prompt Tuning? F i n d i n g s - E A C L

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents EACL

Small Models are Valuable Plug-ins for Large Language Models F i n d i n g s - A C L

Proceedings of the 3rd Workshop on Knowledge Augmented Methods for NLP KnowledgeNLP WS

WPO: Enhancing RLHF with Weighted Preference Optimization EMNLP

i-Code Studio: A Configurable and Composable Framework for Integrative AI EMNLP

Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets F i n d i n g s - E M N L P

Summarization of Dialogues and Conversations At Scale EACL

Diyi Yang | Chenguang Zhu |

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT F i n d i n g s - E M N L P

In-Context Demonstration Selection with Cross Entropy Difference F i n d i n g s - E M N L P

Automatic Prompt Optimization with “Gradient Descent” and Beam Search EMNLP

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning ACL

MACSum: Controllable Summarization with Mixed Attributes TACL

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization ACL

MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering F i n d i n g s - E M N L P

Mahmoud Khademi | Ziyi Yang | Felipe Frujeri | Chenguang Zhu |

LMGQS: A Large-scale Dataset for Query-focused Summarization F i n d i n g s - E M N L P

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models F i n d i n g s - E M N L P

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions EMNLP

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment EMNLP

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization ACL

Knowledge-Augmented Methods for Natural Language Processing ACL

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents ACL

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer ACL

Dict-BERT: Enhancing Language Model Pre-training with Dictionary ACL Findings

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts ACL Findings

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization ACL

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering ACL

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data ACL

End-to-End Segmentation-based News Summarization ACL Findings

Yang Liu | Chenguang Zhu | Michael Zeng |

Leveraging Knowledge in Multilingual Commonsense Reasoning ACL Findings

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts DLG4NLP NAACL

Unsupervised Multi-Granularity Summarization F i n d i n g s - E M N L P

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering EMNLP

A Unified Encoder-Decoder Framework with Entity Memory EMNLP

Zhihan Zhang | Wenhao Yu | Chenguang Zhu | Meng Jiang |

Retrieval Augmentation for Commonsense Reasoning: A Unified Approach EMNLP

Narrate Dialogues for Better Summarization F i n d i n g s - E M N L P

Ruochen Xu | Chenguang Zhu | Michael Zeng |

AdaPrompt: Adaptive Model Training for Prompt-based NLP F i n d i n g s - E M N L P

Task Compass: Scaling Multi-task Pre-training with Task Prefix F i n d i n g s - E M N L P

ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation EMNLP

Leveraging Locality in Abstractive Text Summarization EMNLP

Automatic Rule Induction for Efficient Semi-Supervised Learning F i n d i n g s - E M N L P