Jie Huang

CoRR, 2023

Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling.

[BibT_eX]

[DOI]

Pritom Saha Akash

CoRR, 2023

Configuration Validation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models Cannot Self-Correct Reasoning Yet.

[BibT_eX]

[DOI]

CoRR, 2023

Situated Natural Language Explanations.

[BibT_eX]

[DOI]

CoRR, 2023

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models.

[BibT_eX]

[DOI]

Bryan Catanzaro

CoRR, 2023

Citation: A Key to Building Responsible and Accountable Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation.

[BibT_eX]

[DOI]

CoRR, 2023

CCGen: Explainable Complementary Concept Generation in E-Commerce.

[BibT_eX]

[DOI]

Bing Yin

CoRR, 2023

Why Does ChatGPT Fall Short in Answering Questions Faithfully?

[BibT_eX]

[DOI]

Shen Zheng

CoRR, 2023

Descriptive Knowledge Graph in Biomedical Domain.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Ask To The Point: Open-Domain Entity-Centric Question Generation.

[BibT_eX]

[DOI]

Yuxiang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-step Jailbreaking Privacy Attacks on ChatGPT.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

VER: Unifying Verbalizing Entities and Relations.

[BibT_eX]

[DOI]

Kevin Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Expository Text Generation: Imitate, Retrieve, Paraphrase.

[BibT_eX]

[DOI]

Nishant Balepur

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Text Fact Transfer.

[BibT_eX]

[DOI]

Nishant Balepur

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships.

[BibT_eX]

[DOI]

Chenzhengyi Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Can Language Models Be Specific? How?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Towards Reasoning in Large Language Models: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

VER: Learning Natural Language Representations for Verbalizing Entities and Relations.

[BibT_eX]

[DOI]

CoRR, 2022

DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities.

[BibT_eX]

[DOI]

CoRR, 2022

Coordinated Topic Modeling.

[BibT_eX]

[DOI]

Pritom Saha Akash

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DEER: Descriptive Knowledge Graph for Explaining Entity Relationships.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Understanding Jargon: Combining Extraction and Generation for Definition Modeling.

[BibT_eX]

[DOI]

Hanyin Shao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Are Large Pre-Trained Language Models Leaking Your Personal Information?

[BibT_eX]

[DOI]

Hanyin Shao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

MetaASSIST: Robust Dialogue State Tracking with Meta Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Domain Representative Keywords Selection: A Probabilistic Approach.

[BibT_eX]

[DOI]

Pritom Saha Akash

Yunyao Li

Lucian Popa

ChengXiang Zhai

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Open Relation Modeling: Learning to Define Relations between Entities.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

CDM: Combining Extraction and Generation for Definition Modeling.

[BibT_eX]

[DOI]

Hanyin Shao