Zhen Qin

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

Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Multilingual Fine-Grained News Headline Hallucination Detection.

[BibT_eX]

[DOI]

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

PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Predicting Text Preference Via Structured Comparative Reasoning.

[BibT_eX]

[DOI]

Charumathi Lakshmanan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

On What Basis? Predicting Text Preference Via Structured Comparative Reasoning.

[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

Learning to Rank when Grades Matter.

[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]

Rolf Jagerman

Cícero Nogueira dos Santos

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

PaRaDe: Passage Ranking using Demonstrations with LLMs.

[BibT_eX]

[DOI]

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

Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Regression Compatible Listwise Objectives for Calibrated Ranking.

[BibT_eX]

[DOI]

CoRR, 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

On Optimizing Top-K Metrics for Neural Ranking Models.

[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

Transformer Memory as a Differentiable Search Index.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scale Calibration of Deep Ranking Models.

[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

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

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization.

[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]

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

Are Pre-trained Convolutions Better than Pre-trained Transformers?

[BibT_eX]

[DOI]

CoRR, 2021

Cross-Positional Attention for Debiasing Clicks.

[BibT_eX]

[DOI]

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

Diversification-Aware Learning to Rank using Distributed Representation.

[BibT_eX]

[DOI]

Le Yan

Xuanhui Wang

Michael Bendersky

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

Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Improving Cloud Storage Search with User Activity.

[BibT_eX]

[DOI]

Rolf Jagerman

Weize Kong

Michael Bendersky

Marc Najork

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

OmniNet: Omnidirectional Representations from Transformers.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?

[BibT_eX]

[DOI]

Xuanhui Wang

Michael Bendersky

Marc Najork

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

Are Pretrained Convolutions Better than Pretrained Transformers?

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Matching Cross Network for Learning to Rank in Personal Search.

[BibT_eX]

[DOI]

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

Stabilizing Neural Search Ranking Models.

[BibT_eX]

[DOI]

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

Training Machine Learning Models With Causal Logic.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Parameter Tuning in Personal Search Systems.

[BibT_eX]

[DOI]

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

Multitask Mixture of Sequential Experts for User Activity Streams.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Improving Recommendation Quality in Google Drive.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Making Deep Neural Networks Robust to Label Noise: Cross-Training With a Novel Loss Function.

[BibT_eX]

[DOI]

IEEE Access, 2019

Personalized Online Spell Correction for Personal Search.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Multi-Level Common Space Learning for Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Hawkes Process Inference With Missing Data.

[BibT_eX]

[DOI]

Chandini Shetty

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Event Detection in Continuous Video: An Inference in Point Process Approach.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

2016

Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2016

Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015

Modeling Social and Temporal Context for Video Analysis.

[BibT_eX]

[DOI]

PhD thesis, 2015

A holistic model of mining product aspects and associated sentiments from online reviews.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2015

Improving tag matrix completion for image annotation and retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2015 Visual Communications and Image Processing, 2015

Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014

Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2014

Confidence Estimation and Reputation Analysis in Aspect Extraction.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Documents clustering based on max-correntropy nonnegative matrix factorization.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

An Online Learned Elementary Grouping Model for Multi-target Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2013

Social grouping for target handover in multi-view video.

[BibT_eX]

[DOI]

Lunshao Chai

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

MFSC: A new shape descriptor with robustness to deformations.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

A new multi-scale fuzzy model for Histogram-Based Descriptors.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Representative reference-set and betweenness centrality for scene image categorization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Ordered histogram of shapemes: An ordered bag-of-features based shape descriptor for efficient shape matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Improving multi-target tracking via social grouping.

[BibT_eX]

[DOI]