NLPExplorer

Michael Bendersky

Number of Papers:- 18

Number of Citations:- 5

First ACL Paper:- 2011

Latest ACL Paper:- 2024

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EMNLP

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NAACL

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WS

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Co-Authors:-

Aditi Chaudhary

Alexander M Rush

Similar Authors:-

Ascension Gallardo Antolin

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting F i n d i n g s - N A A C L

Zhen Qin | Rolf Jagerman | Kai Hui | Honglei Zhuang | Junru Wu | Le Yan | Jiaming Shen | Tianqi Liu | Jialu Liu | Donald Metzler | Xuanhui Wang | Michael Bendersky |

It’s All Relative! – A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction F i n d i n g s - N A A C L

Aditi Chaudhary | Karthik Raman | Michael Bendersky |

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels NAACL

Honglei Zhuang | Zhen Qin | Kai Hui | Junru Wu | Le Yan | Xuanhui Wang | Michael Bendersky |

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL

Yue Yu | Jiaming Shen | Tianqi Liu | Zhen Qin | Jing Nathan Yan | Jialu Liu | Chao Zhang | Michael Bendersky |

PRewrite: Prompt Rewriting with Reinforcement Learning ACL

Weize Kong | Spurthi Hombaiah | Mingyang Zhang | Qiaozhu Mei | Michael Bendersky |

LaMP: When Large Language Models Meet Personalization ACL

Alireza Salemi | Sheshera Mysore | Michael Bendersky | Hamed Zamani |

Bridging the Preference Gap between Retrievers and LLMs ACL

Zixuan Ke | Weize Kong | Cheng Li | Mingyang Zhang | Qiaozhu Mei | Michael Bendersky |

PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs F i n d i n g s - A C L

Rongzhi Zhang | Jiaming Shen | Tianqi Liu | Haorui Wang | Zhen Qin | Feng Han | Jialu Liu | Simon Baumgartner | Michael Bendersky | Chao Zhang |

Predicting Text Preference Via Structured Comparative Reasoning ACL

Jing Nathan Yan | Tianqi Liu | Justin Chiu | Jiaming Shen | Zhen Qin | Yue Yu | Charumathi Lakshmanan | Yair Kurzion | Alexander Rush | Jialu Liu | Michael Bendersky |

Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning NAACL

Kazuma Hashimoto | Karthik Raman | Michael Bendersky |

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing EMNLP

Le Yan | Zhen Qin | Honglei Zhuang | Rolf Jagerman | Xuanhui Wang | Michael Bendersky | Harrie Oosterhuis |

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach EMNLP

Zhuowan Li | Cheng Li | Mingyang Zhang | Qiaozhu Mei | Michael Bendersky |

Multilingual Fine-Grained News Headline Hallucination Detection F i n d i n g s - E M N L P

Jiaming Shen | Tianqi Liu | Jialu Liu | Zhen Qin | Jay Pavagadhi | Simon Baumgartner | Michael Bendersky |

Creator Context for Tweet Recommendation EMNLP

Spurthi Amba Hombaiah | Tao Chen | Mingyang Zhang | Michael Bendersky | Marc Najork | Matt Colen | Sergey Levi | Vladimir Ofitserov | Tanvir Amin |

QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation EMNLP

Krishna Srinivasan | Karthik Raman | Anupam Samanta | Lingrui Liao | Luca Bertelli | Michael Bendersky |

DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling EMNLP Findings

Jiecao Chen | Liu Yang | Karthik Raman | Michael Bendersky | Jung-Jung Yeh | Yun Zhou | Marc Najork | Danyang Cai | Ehsan Emadzadeh |

A Dictionary of Wisdom and Wit: Learning to Extract Quotable Phrases NAACL WS

Michael Bendersky | David Smith |

Joint Annotation of Search Queries ACL

Michael Bendersky | W. Bruce Croft | David A. Smith |

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