NLPExplorer

Peter Hase

Number of Papers:- 10

Number of Citations:- 0

First ACL Paper:- 2020

Latest ACL Paper:- 2024

Venues:-

LNLS

EACL

RepL4NLP

Findings

ACL

KnowLLM

EMNLP

WS

Co-Authors:-

Asli Celikyilmaz

Similar Authors:-

Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024) KnowLLM WS

Sha Li | Manling Li | Michael JQ Zhang | Eunsol Choi | Mor Geva | Peter Hase | Heng Ji |

Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024) RepL4NLP WS

Chen Zhao | Marius Mosbach | Pepa Atanasova | Seraphina Goldfarb-Tarrent | Peter Hase | Arian Hosseini | Maha Elbayad | Sandro Pezzelle | Maximilian Mozes |

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL

Peter Hase | Mohit Bansal | Peter Clark | Sarah Wiegreffe |

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models EACL

Archiki Prasad | Peter Hase | Xiang Zhou | Mohit Bansal |

Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models EACL

Peter Hase | Mona Diab | Asli Celikyilmaz | Xian Li | Zornitsa Kozareva | Veselin Stoyanov | Mohit Bansal | Srinivasan Iyer |

When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL LNLS

Peter Hase | Mohit Bansal |

Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations EMNLP

Swarnadeep Saha | Peter Hase | Nazneen Rajani | Mohit Bansal |

FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP

Han Guo | Nazneen Rajani | Peter Hase | Mohit Bansal | Caiming Xiong |

Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ACL

Peter Hase | Mohit Bansal |

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP Findings

Peter Hase | Shiyue Zhang | Harry Xie | Mohit Bansal |

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