Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

[BibT_eX]

[DOI]

Zhen Qin

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers.

[BibT_eX]

[DOI]

CoRR, 2023

PaRaDe: Passage Ranking using Demonstrations with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

[BibT_eX]

[DOI]

CoRR, 2023

Query Expansion by Prompting Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning List-Level Domain-Invariant Representations for Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RD-Suite: A Benchmark for Ranking Distillation.

[BibT_eX]

[DOI]

Zhen Qin

Rolf Jagerman

Rama Kumar Pasumarthi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How Does Generative Retrieval Scale to Millions of Passages?

[BibT_eX]

[DOI]

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

PaRaDe: Passage Ranking using Demonstrations with LLMs.

[BibT_eX]

[DOI]

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

2022

Retrieval Augmentation for T5 Re-ranker using External Sources.

[BibT_eX]

[DOI]

CoRR, 2022

Revisiting Two-tower Models for Unbiased Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Rax: Composable Learning-to-Rank Using JAX.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Stochastic Retrieval-Conditioned Reranking.

[BibT_eX]

[DOI]

Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference.

[BibT_eX]

[DOI]

Cícero Nogueira dos Santos

Yi Tay

Donald Metzler

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

2021

Rank4Class: A Ranking Formulation for Multiclass Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Born Again Neural Rankers.

[BibT_eX]

[DOI]

CoRR, 2021

Distilling Interpretable Models into Human-Readable Code.

[BibT_eX]

[DOI]

CoRR, 2021

Cross-Positional Attention for Debiasing Clicks.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Interpretable Ranking with Generalized Additive Models.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Bootstrapping Recommendations at Chrome Web Store.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Ensemble Distillation for BERT-Based Ranking Models.

[BibT_eX]

[DOI]

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?

[BibT_eX]

[DOI]

Rama Kumar Pasumarthi

Xuanhui Wang

Michael Bendersky

Marc Najork

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education.

[BibT_eX]

[DOI]

CoRR, 2020

RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble.

[BibT_eX]

[DOI]

CoRR, 2020

Interpretable Learning-to-Rank with Generalized Additive Models.

[BibT_eX]

[DOI]

CoRR, 2020

DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Separate and Attend in Personal Email Search.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Feature Transformation for Neural Ranking Models.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Joint Aspect-Sentiment Analysis with Minimal User Guidance.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Permutation Equivariant Document Interaction Network for Neural Learning to Rank.

[BibT_eX]

[DOI]

Rama Kumar Pasumarthi

Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

Mining Text Outliers in Document Directories.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Adaptive Double-Exploration Tradeoff for Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Text mining with word embedding for outlier and sentiment analysis

[BibT_eX]

[DOI]

Honglei Zhuang

PhD thesis, 2019

Aspect-Based Sentiment Analysis with Minimal Guidance.

[BibT_eX]

[DOI]

Honglei Zhuang

Timothy P. Hanratty

Jiawei Har

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Spherical Text Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

2017

Identifying Outlier Arms in Multi-Armed Bandit.

[BibT_eX]

[DOI]

Honglei Zhuang

Chi Wang

Yifan Wang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Identifying Semantically Deviating Outlier Documents.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Multi-Dimensional, Phrase-Based Summarization in Text Cubes.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2016

Knowledge Fragment Enrichment Using Domain Knowledge Base.

[BibT_eX]

[DOI]

Proceedings of the Social Media Processing - 5th National Conference, 2016

GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams.

[BibT_eX]

[DOI]

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015

Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning.

[BibT_eX]

[DOI]

Honglei Zhuang

Joel Young

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Debiasing Crowdsourced Batches.

[BibT_eX]

[DOI]

Honglei Zhuang

Aditya G. Parameswaran

Dan Roth

Jiawei Han

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Query-Based Outlier Detection in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Extending Database Technology, 2015

2014

Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Role-Aware Conformity Modeling and Analysis in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

SAE: social analytic engine for large networks.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Influence Maximization in Dynamic Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Actively learning to infer social ties.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2012

Inferring Geographic Coincidence in Ephemeral Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Learning to Infer Social Ties in Large Networks.

[BibT_eX]

[DOI]

Wenbin Tang

Honglei Zhuang

Jie Tang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Honglei Zhuang

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