NLPExplorer

Tongshuang Wu

Number of Papers:- 21

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

NAACL

L

P

s

EMNLP

artofsafety

-

E

C

M

g

TACL

A

d

WS

ACL

i

IJCNLP

N

F

n

Co-Authors:-

Ameet Talwalkwar

Andre F T Martins

Similar Authors:-

Large Language Models Help Humans Verify Truthfulness – Except When They Are Convincingly Wrong NAACL

Chenglei Si | Navita Goyal | Tongshuang Wu | Chen Zhao | Shi Feng | Hal Daumé Iii | Jordan Boyd-Graber |

Large Language Models Enable Few-Shot Clustering TACL

Vijay Viswanathan | Kiril Gashteovski | Kiril Gashteovski | Carolin Lawrence | Tongshuang Wu | Graham Neubig |

Better Synthetic Data by Retrieving and Transforming Existing Datasets F i n d i n g s - A C L

Saumya Gandhi | Ritu Gala | Vijay Viswanathan | Tongshuang Wu | Graham Neubig |

Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models F i n d i n g s - A C L

Xinran Zhao | Hongming Zhang | Xiaoman Pan | Wenlin Yao | Dong Yu | Tongshuang Wu | Jianshu Chen |

Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design TACL

Lindia Tjuatja | Valerie Chen | Tongshuang Wu | Ameet Talwalkwar | Graham Neubig |

Synthetic Multimodal Question Generation F i n d i n g s - E M N L P

Ian Wu | Sravan Jayanthi | Vijay Viswanathan | Simon Rosenberg | Sina Khoshfetrat Pakazad | Tongshuang Wu | Graham Neubig |

Measuring Adversarial Datasets artofsafety WS

Yuanchen Bai | Raoyi Huang | Vijay Viswanathan | Tzu-Sheng Kuo | Tongshuang Wu |

BiasX: “Thinking Slow” in Toxic Content Moderation with Explanations of Implied Social Biases EMNLP

Yiming Zhang | Sravani Nanduri | Liwei Jiang | Tongshuang Wu | Maarten Sap |

Prompt2Model: Generating Deployable Models from Natural Language Instructions EMNLP

Vijay Viswanathan | Chenyang Zhao | Amanda Bertsch | Tongshuang Wu | Graham Neubig |

NewsSense: Reference-free Verification via Cross-document Comparison EMNLP

Jeremiah Milbauer | Ziqi Ding | Zhijin Wu | Tongshuang Wu |

Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation TACL

Patrick Fernandes | Aman Madaan | Emmy Liu | António Farinhas | Pedro Henrique Martins | Amanda Bertsch | José G. C. de Souza | Shuyan Zhou | Tongshuang Wu | Graham Neubig | André F. T. Martins |

Designing, Evaluating, and Learning from Humans Interacting with NLP Models EMNLP

Tongshuang Wu | Diyi Yang | Sebastin Santy |

Beyond Testers’ Biases: Guiding Model Testing with Knowledge Bases using LLMs F i n d i n g s - E M N L P

Chenyang Yang | Rishabh Rustogi | Rachel Brower-Sinning | Grace Lewis | Christian Kaestner | Tongshuang Wu |

DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions ACL

Vijay Viswanathan | Luyu Gao | Tongshuang Wu | Pengfei Liu | Graham Neubig |

Tailor: Generating and Perturbing Text with Semantic Controls ACL

Alexis Ross | Tongshuang Wu | Hao Peng | Matthew Peters | Matt Gardner |

Are Shortest Rationales the Best Explanations for Human Understanding? ACL

Hua Shen | Tongshuang Wu | Wenbo Guo | Ting-Hao Huang |

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension ACL

Ying Xu | Dakuo Wang | Mo Yu | Daniel Ritchie | Bingsheng Yao | Tongshuang Wu | Zheng Zhang | Toby Li | Nora Bradford | Branda Sun | Tran Hoang | Yisi Sang | Yufang Hou | Xiaojuan Ma | Diyi Yang | Nanyun Peng | Zhou Yu | Mark Warschauer |

It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books ACL

Bingsheng Yao | Dakuo Wang | Tongshuang Wu | Zheng Zhang | Toby Li | Mo Yu | Ying Xu |

Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models ACL IJCNLP

Tongshuang Wu | Marco Tulio Ribeiro | Jeffrey Heer | Daniel Weld |

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ACL

Marco Tulio Ribeiro | Tongshuang Wu | Carlos Guestrin | Sameer Singh |

Errudite: Scalable, Reproducible, and Testable Error Analysis ACL

Tongshuang Wu | Marco Tulio Ribeiro | Jeffrey Heer | Daniel Weld |

.