NLPExplorer

Zhengbao Jiang

Number of Papers:- 18

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

ACL

NAACL

SUKI

EMNLP

CoNLL

COLING

IJCNLP

TACL

Co-Authors:-

Antonios Anastasopoulos

Similar Authors:-

Instruction-tuned Language Models are Better Knowledge Learners ACL

GPTScore: Evaluate as You Desire NAACL

Jinlan Fu | See-Kiong Ng | Zhengbao Jiang | Pengfei Liu |

Beyond Memorization: The Challenge of Random Memory Access in Language Models ACL

EditEval: An Instruction-Based Benchmark for Text Improvements CoNLL

Active Retrieval Augmented Generation EMNLP

Table Retrieval May Not Necessitate Table-specific Model Design NAACL SUKI

Zhiruo Wang | Zhengbao Jiang | Eric Nyberg | Graham Neubig |

OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering NAACL

Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering COLING

Zhengbao Jiang | Jun Araki | Haibo Ding | Graham Neubig |

SPE: Symmetrical Prompt Enhancement for Fact Probing EMNLP

Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer EMNLP

GSum: A General Framework for Guided Neural Abstractive Summarization NAACL

CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction ACL IJCNLP

Zhengbao Jiang | Jialong Han | Bunyamin Sisman | Xin Luna Dong |

How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering TACL

Zhengbao Jiang | Jun Araki | Haibo Ding | Graham Neubig |

Generalizing Natural Language Analysis through Span-relation Representations ACL

Zhengbao Jiang | Wei Xu | Jun Araki | Graham Neubig |

Incorporating External Knowledge through Pre-training for Natural Language to Code Generation ACL

How Can We Know What Language Models Know? TACL

Zhengbao Jiang | Frank F. Xu | Jun Araki | Graham Neubig |

X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models EMNLP

Improving Open Information Extraction via Iterative Rank-Aware Learning ACL

Zhengbao Jiang | Pengcheng Yin | Graham Neubig |