Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Jimmy Lin

Jimmy Lin

MS MARCO: Benchmarking Ranking Models in the Large-Data Regime


May 09, 2021
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin

Figure 1 for MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
Figure 2 for MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
Figure 3 for MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
Figure 4 for MS MARCO: Benchmarking Ranking Models in the Large-Data Regime

  Access Paper or Ask Questions

Contextualized Query Embeddings for Conversational Search


Apr 18, 2021
Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin

Figure 1 for Contextualized Query Embeddings for Conversational Search
Figure 2 for Contextualized Query Embeddings for Conversational Search
Figure 3 for Contextualized Query Embeddings for Conversational Search
Figure 4 for Contextualized Query Embeddings for Conversational Search
* 8 pages 
  Access Paper or Ask Questions

Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling


Apr 14, 2021
Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury

Figure 1 for Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
Figure 2 for Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
Figure 3 for Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
Figure 4 for Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
* Accepted at SIGIR 2021 (Full Paper track) 
  Access Paper or Ask Questions

A Replication Study of Dense Passage Retriever


Apr 12, 2021
Xueguang Ma, Kai Sun, Ronak Pradeep, Jimmy Lin

Figure 1 for A Replication Study of Dense Passage Retriever
Figure 2 for A Replication Study of Dense Passage Retriever
Figure 3 for A Replication Study of Dense Passage Retriever
Figure 4 for A Replication Study of Dense Passage Retriever

  Access Paper or Ask Questions

Investigating the Limitations of Transformers with Simple Arithmetic Tasks


Mar 02, 2021
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin

Figure 1 for Investigating the Limitations of Transformers with Simple Arithmetic Tasks
Figure 2 for Investigating the Limitations of Transformers with Simple Arithmetic Tasks
Figure 3 for Investigating the Limitations of Transformers with Simple Arithmetic Tasks
Figure 4 for Investigating the Limitations of Transformers with Simple Arithmetic Tasks

  Access Paper or Ask Questions

Investigating the Limitations of the Transformers with Simple Arithmetic Tasks


Feb 25, 2021
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin

Figure 1 for Investigating the Limitations of the Transformers with Simple Arithmetic Tasks
Figure 2 for Investigating the Limitations of the Transformers with Simple Arithmetic Tasks
Figure 3 for Investigating the Limitations of the Transformers with Simple Arithmetic Tasks
Figure 4 for Investigating the Limitations of the Transformers with Simple Arithmetic Tasks

  Access Paper or Ask Questions

Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard


Feb 25, 2021
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz

Figure 1 for Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
Figure 2 for Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
Figure 3 for Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard

  Access Paper or Ask Questions

Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations


Feb 19, 2021
Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira

Figure 1 for Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
Figure 2 for Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
Figure 3 for Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
Figure 4 for Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations

  Access Paper or Ask Questions

The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models


Jan 14, 2021
Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin

Figure 1 for The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Figure 2 for The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Figure 3 for The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Figure 4 for The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models

  Access Paper or Ask Questions

Inserting Information Bottlenecks for Attribution in Transformers


Dec 27, 2020
Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin

Figure 1 for Inserting Information Bottlenecks for Attribution in Transformers
Figure 2 for Inserting Information Bottlenecks for Attribution in Transformers
Figure 3 for Inserting Information Bottlenecks for Attribution in Transformers
Figure 4 for Inserting Information Bottlenecks for Attribution in Transformers
* Accepted by EMNLP2020 Findings 
  Access Paper or Ask Questions

Scientific Claim Verification with VERT5ERINI


Oct 22, 2020
Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin

Figure 1 for Scientific Claim Verification with VERT5ERINI
Figure 2 for Scientific Claim Verification with VERT5ERINI
Figure 3 for Scientific Claim Verification with VERT5ERINI
Figure 4 for Scientific Claim Verification with VERT5ERINI

  Access Paper or Ask Questions

Distilling Dense Representations for Ranking using Tightly-Coupled Teachers


Oct 22, 2020
Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin

Figure 1 for Distilling Dense Representations for Ranking using Tightly-Coupled Teachers
Figure 2 for Distilling Dense Representations for Ranking using Tightly-Coupled Teachers
Figure 3 for Distilling Dense Representations for Ranking using Tightly-Coupled Teachers
Figure 4 for Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

  Access Paper or Ask Questions

Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network


Oct 15, 2020
Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter

Figure 1 for Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Figure 2 for Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Figure 3 for Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Figure 4 for Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network

  Access Paper or Ask Questions

Pretrained Transformers for Text Ranking: BERT and Beyond


Oct 13, 2020
Jimmy Lin, Rodrigo Nogueira, Andrew Yates

Figure 1 for Pretrained Transformers for Text Ranking: BERT and Beyond
Figure 2 for Pretrained Transformers for Text Ranking: BERT and Beyond
Figure 3 for Pretrained Transformers for Text Ranking: BERT and Beyond
Figure 4 for Pretrained Transformers for Text Ranking: BERT and Beyond

  Access Paper or Ask Questions

Howl: A Deployed, Open-Source Wake Word Detection System


Aug 21, 2020
Raphael Tang, Jaejun Lee, Afsaneh Razi, Julia Cambre, Ian Bicking, Jofish Kaye, Jimmy Lin

Figure 1 for Howl: A Deployed, Open-Source Wake Word Detection System
Figure 2 for Howl: A Deployed, Open-Source Wake Word Detection System
Figure 3 for Howl: A Deployed, Open-Source Wake Word Detection System
* The first two authors contributed equally 
  Access Paper or Ask Questions

To Paraphrase or Not To Paraphrase: User-Controllable Selective Paraphrase Generation


Aug 21, 2020
Mohan Zhang, Luchen Tan, Zhengkai Tu, Zihang Fu, Kun Xiong, Ming Li, Jimmy Lin

Figure 1 for To Paraphrase or Not To Paraphrase: User-Controllable Selective Paraphrase Generation
Figure 2 for To Paraphrase or Not To Paraphrase: User-Controllable Selective Paraphrase Generation

  Access Paper or Ask Questions

Generalized and Scalable Optimal Sparse Decision Trees


Jul 17, 2020
Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo Seltzer

Figure 1 for Generalized and Scalable Optimal Sparse Decision Trees
Figure 2 for Generalized and Scalable Optimal Sparse Decision Trees
Figure 3 for Generalized and Scalable Optimal Sparse Decision Trees
Figure 4 for Generalized and Scalable Optimal Sparse Decision Trees

  Access Paper or Ask Questions

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset


Jul 14, 2020
Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin

Figure 1 for Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
Figure 2 for Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
* arXiv admin note: text overlap with arXiv:2004.05125 
  Access Paper or Ask Questions

Generalized Optimal Sparse Decision Trees


Jun 15, 2020
Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo Seltzer

Figure 1 for Generalized Optimal Sparse Decision Trees
Figure 2 for Generalized Optimal Sparse Decision Trees
Figure 3 for Generalized Optimal Sparse Decision Trees
Figure 4 for Generalized Optimal Sparse Decision Trees

  Access Paper or Ask Questions

A Data Scientist's Guide to Streamflow Prediction


Jun 05, 2020
Martin Gauch, Jimmy Lin

Figure 1 for A Data Scientist's Guide to Streamflow Prediction
Figure 2 for A Data Scientist's Guide to Streamflow Prediction
Figure 3 for A Data Scientist's Guide to Streamflow Prediction
* 9 pages, 2 figures 
  Access Paper or Ask Questions

Query Reformulation using Query History for Passage Retrieval in Conversational Search


May 05, 2020
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin

Figure 1 for Query Reformulation using Query History for Passage Retrieval in Conversational Search
Figure 2 for Query Reformulation using Query History for Passage Retrieval in Conversational Search
Figure 3 for Query Reformulation using Query History for Passage Retrieval in Conversational Search
Figure 4 for Query Reformulation using Query History for Passage Retrieval in Conversational Search
* 11 pages 
  Access Paper or Ask Questions

SegaBERT: Pre-training of Segment-aware BERT for Language Understanding


Apr 30, 2020
He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Ming Li

Figure 1 for SegaBERT: Pre-training of Segment-aware BERT for Language Understanding
Figure 2 for SegaBERT: Pre-training of Segment-aware BERT for Language Understanding
Figure 3 for SegaBERT: Pre-training of Segment-aware BERT for Language Understanding
Figure 4 for SegaBERT: Pre-training of Segment-aware BERT for Language Understanding

  Access Paper or Ask Questions

Showing Your Work Doesn't Always Work


Apr 28, 2020
Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin

Figure 1 for Showing Your Work Doesn't Always Work
Figure 2 for Showing Your Work Doesn't Always Work
Figure 3 for Showing Your Work Doesn't Always Work
Figure 4 for Showing Your Work Doesn't Always Work
* Accepted to ACL 2020 
  Access Paper or Ask Questions

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference


Apr 27, 2020
Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin

Figure 1 for DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Figure 2 for DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Figure 3 for DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Figure 4 for DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
* Accepted at ACL 2020 
  Access Paper or Ask Questions

Rapidly Bootstrapping a Question Answering Dataset for COVID-19


Apr 23, 2020
Raphael Tang, Rodrigo Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin

Figure 1 for Rapidly Bootstrapping a Question Answering Dataset for COVID-19

  Access Paper or Ask Questions

Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned


Apr 10, 2020
Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, Jimmy Lin

Figure 1 for Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned
Figure 2 for Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned

  Access Paper or Ask Questions

Semantics of the Unwritten


Apr 05, 2020
He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li

Figure 1 for Semantics of the Unwritten
Figure 2 for Semantics of the Unwritten
Figure 3 for Semantics of the Unwritten
Figure 4 for Semantics of the Unwritten

  Access Paper or Ask Questions

Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models


Apr 04, 2020
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin

Figure 1 for Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models
Figure 2 for Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models
Figure 3 for Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models
Figure 4 for Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models

  Access Paper or Ask Questions

TTTTTackling WinoGrande Schemas


Mar 18, 2020
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin

Figure 1 for TTTTTackling WinoGrande Schemas
Figure 2 for TTTTTackling WinoGrande Schemas

  Access Paper or Ask Questions

Document Ranking with a Pretrained Sequence-to-Sequence Model


Mar 14, 2020
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin

Figure 1 for Document Ranking with a Pretrained Sequence-to-Sequence Model
Figure 2 for Document Ranking with a Pretrained Sequence-to-Sequence Model
Figure 3 for Document Ranking with a Pretrained Sequence-to-Sequence Model
Figure 4 for Document Ranking with a Pretrained Sequence-to-Sequence Model

  Access Paper or Ask Questions