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ORCIDJimmy Lin
Person information
- affiliation: University of Waterloo, David R. Cheriton School of Computer Science
- affiliation: Twitter Inc., San Francisco, USA
- affiliation: University of Maryland, College Park, Institute for Advanced Computer Studies (UMIACS)
- affiliation: Massachusetts Institute of Technology (MIT), Artificial Intelligence Laboratory
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2020 – today
- 2022
[c305]Hang Li
, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. ECIR (1) 2022: 599-612- [c304]Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li, Jimmy Lin:
Another Look at DPR: Reproduction of Training and Replication of Retrieval. ECIR (1) 2022: 613-626 - [c303]Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates, Jimmy Lin:
Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. ECIR (1) 2022: 655-670 - [c302]Raphael Tang, Karun Kumar, Ji Xin, Piyush Vyas, Wenyan Li, Gefei Yang, Yajie Mao, G. Craig Murray, Jimmy Lin:
Temporal Early Exiting for Streaming Speech Commands Recognition. ICASSP 2022: 7567-7571 - [c301]Matthew Y. R. Yang, Siwen Yang, Jimmy Lin:
Integration of text and geospatial search for hydrographic datasets using the lucene search library. JCDL 2022: 36:1-36:5 - [c300]Ronak Pradeep, Yilin Li, Yuetong Wang, Jimmy Lin:
Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching. SIGIR 2022: 2325-2330 - [c299]Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. SIGIR 2022: 2495-2500 - [c298]Yuqi Liu, Chengcheng Hu, Jimmy Lin:
Another Look at Information Retrieval as Statistical Translation. SIGIR 2022: 2749-2754 - [c297]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. SIGIR 2022: 2939-2948 - [c296]Ellen M. Voorhees, Nick Craswell, Jimmy Lin:
Too Many Relevants: Whither Cranfield Test Collections? SIGIR 2022: 2970-2980 - [c295]Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin:
Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. SIGIR 2022: 3187-3197 - [c294]Andrew Trotman, Joel Mackenzie, Pradeesh Parameswaran, Jimmy Lin:
A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods. SIGIR 2022: 3229-3234 - [c293]Josh Seltzer, Kathy Cheng, Shi Zong, Jimmy Lin:
Flipping the Script: Inverse Information Seeking Dialogues for Market Research. SIGIR 2022: 3380-3383 - [c292]Josh Devins, Julie Tibshirani, Jimmy Lin:
Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini. WSDM 2022: 1573-1576 - [i114]Ellen M. Voorhees, Ian Soboroff, Jimmy Lin:
Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models? CoRR abs/2201.11086 (2022) - [i113]Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan:
Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval. CoRR abs/2203.05765 (2022) - [i112]Wei Zhong, Jheng-Hong Yang, Jimmy Lin:
Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval. CoRR abs/2203.11163 (2022) - [i111]Xinyu Zhang, Kelechi Ogueji, Xueguang Ma, Jimmy Lin:
Towards Best Practices for Training Multilingual Dense Retrieval Models. CoRR abs/2204.02363 (2022) - [i110]Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. CoRR abs/2205.00235 (2022) - [i109]Minghan Li, Xinyu Zhang, Ji Xin, Hongyang Zhang, Jimmy Lin:
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking. CoRR abs/2205.09638 (2022) - [i108]Nandan Thakur, Nils Reimers, Jimmy Lin:
Domain Adaptation for Memory-Efficient Dense Retrieval. CoRR abs/2205.11498 (2022) - [i107]Sheng-Chieh Lin, Jimmy Lin:
A Dense Representation Framework for Lexical and Semantic Matching. CoRR abs/2206.09912 (2022) - [i106]Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin:
Few-Shot Non-Parametric Learning with Deep Latent Variable Model. CoRR abs/2206.11573 (2022) - 2021
- [b3]Jimmy Lin, Rodrigo Nogueira, Andrew Yates:
Pretrained Transformers for Text Ranking: BERT and Beyond. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2021, pp. 1-325 - [j61]Samantha Fritz, Ian Milligan, Nick Ruest, Jimmy Lin:
Fostering Community Engagement through Datathon Events: The Archives Unleashed Experience. Digit. Humanit. Q. 15(1) (2021) - [j60]Martin Gauch, Juliane Mai, Jimmy Lin:
The proper care and feeding of CAMELS: How limited training data affects streamflow prediction. Environ. Model. Softw. 135: 104926 (2021) - [j59]Jimmy Lin:
A proposed conceptual framework for a representational approach to information retrieval. SIGIR Forum 55(2): 4:1-4:29 (2021) - [j58]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting. ACM Trans. Inf. Syst. 39(4): 48:1-48:29 (2021) - [c291]He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li:
Segatron: Segment-Aware Transformer for Language Modeling and Understanding. AAAI 2021: 12526-12534 - [c290]He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li:
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2. ACL (student) 2021: 148-162 - [c289]Kelvin Jiang, Ronak Pradeep, Jimmy Lin:
Exploring Listwise Evidence Reasoning with T5 for Fact Verification. ACL/IJCNLP (2) 2021: 402-410 - [c288]Ji Xin, Raphael Tang, Yaoliang Yu, Jimmy Lin:
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing. ACL/IJCNLP (1) 2021: 1040-1051 - [c287]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks. BlackboxNLP@EMNLP 2021: 496-509 - [c286]Wei Zhong, Xinyu Zhang, Ji Xin, Richard Zanibbi, Jimmy Lin:
Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens. CLEF (Working Notes) 2021: 133-156 - [c285]Mayank Anand, Jiarui Zhang, Shane Ding, Ji Xin, Jimmy Lin:
Serverless BM25 Search and BERT Reranking. DESIRES 2021: 3-9 - [c284]Jimmy Lin, Xueguang Ma, Joel Mackenzie, Antonio Mallia:
On the Separation of Logical and Physical Ranking Models for Text Retrieval Applications. DESIRES 2021: 176-178 - [c283]Ogundepo Odunayo, Naveela N. Sookoo, Gautam Bathla, Anthony Cavallin, Bhaleka D. Persaud, Kathy Szigeti, Philippe Van Cappellen, Jimmy Lin:
Rescuing historical climate observations to support hydrological research: a case study of solar radiation data. DocEng 2021: 19:1-19:4 - [c282]Ji Xin, Raphael Tang, Yaoliang Yu, Jimmy Lin:
BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression. EACL 2021: 91-104 - [c281]Mohan Zhang, Luchen Tan, Zihang Fu, Kun Xiong, Jimmy Lin, Ming Li, Zhengkai Tu:
Don't Change Me! User-Controllable Selective Paraphrase Generation. EACL 2021: 3522-3527 - [c280]Xinyu Zhang, Andrew Yates, Jimmy Lin:
Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers. ECIR (2) 2021: 150-163 - [c279]Yue Zhang, Chengcheng Hu, Yuqi Liu, Hui Fang, Jimmy Lin:
Learning to Rank in the Age of Muppets: Effectiveness-Efficiency Tradeoffs in Multi-Stage Ranking. SustaiNLP@EMNLP 2021: 64-73 - [c278]Minghan Li, Ming Li, Kun Xiong, Jimmy Lin:
Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering. EMNLP (Findings) 2021: 274-287 - [c277]Raphael Tang, Karun Kumar, Kendra Chalkley, Ji Xin, Liming Zhang, Wenyan Li, Gefei Yang, Yajie Mao, Junho Shin, Geoffrey Craig Murray, Jimmy Lin:
Voice Query Auto Completion. EMNLP (1) 2021: 900-906 - [c276]Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
Contextualized Query Embeddings for Conversational Search. EMNLP (1) 2021: 1004-1015 - [c275]Xueguang Ma, Minghan Li, Kai Sun, Ji Xin, Jimmy Lin:
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. EMNLP (1) 2021: 2854-2859 - [c274]Anup Anand Deshmukh, Qianqiu Zhang, Ming Li, Jimmy Lin, Lili Mou:
Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach. EMNLP (Findings) 2021: 3626-3634 - [c273]Xiao Han, Yuqi Liu, Jimmy Lin:
The Simplest Thing That Can Possibly Work: (Pseudo-)Relevance Feedback via Text Classification. ICTIR 2021: 123-129 - [c272]Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval. RepL4NLP@ACL-IJCNLP 2021: 163-173 - [c271]Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury:
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. SIGIR 2021: 113-122 - [c270]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR 2021: 1566-1576 - [c269]Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin:
Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. SIGIR 2021: 2066-2070 - [c268]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. SIGIR 2021: 2283-2287 - [c267]Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira:
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. SIGIR 2021: 2356-2362 - [c266]Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin:
Chatty Goose: A Python Framework for Conversational Search. SIGIR 2021: 2521-2525 - [c265]Wei Zhong, Jimmy Lin:
PYA0: A Python Toolkit for Accessible Math-Aware Search. SIGIR 2021: 2541-2545 - [c264]Andrew Yates, Rodrigo Nogueira, Jimmy Lin:
Pretrained Transformers for Text Ranking: BERT and Beyond. SIGIR 2021: 2666-2668 - [c263]Andrew Yates, Rodrigo Nogueira, Jimmy Lin:
Pretrained Transformers for Text Ranking: BERT and Beyond. WSDM 2021: 1154-1156 - [i105]Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin:
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models. CoRR abs/2101.05667 (2021) - [i104]Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira:
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. CoRR abs/2102.10073 (2021) - [i103]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. CoRR abs/2102.12887 (2021) - [i102]Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin:
Investigating the Limitations of the Transformers with Simple Arithmetic Tasks. CoRR abs/2102.13019 (2021) - [i101]Xueguang Ma, Kai Sun, Ronak Pradeep, Jimmy Lin:
A Replication Study of Dense Passage Retriever. CoRR abs/2104.05740 (2021) - [i100]Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury:
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. CoRR abs/2104.06967 (2021) - [i99]Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
Contextualized Query Embeddings for Conversational Search. CoRR abs/2104.08707 (2021) - [i98]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. CoRR abs/2105.04021 (2021) - [i97]Jimmy Lin, Xueguang Ma:
A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques. CoRR abs/2106.14807 (2021) - [i96]Xinyu Zhang, Xueguang Ma, Peng Shi, Jimmy Lin:
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval. CoRR abs/2108.08787 (2021) - [i95]Peng Shi, Rui Zhang, He Bai, Jimmy Lin:
Cross-Lingual Training with Dense Retrieval for Document Retrieval. CoRR abs/2109.01628 (2021) - [i94]Jimmy Lin:
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval. CoRR abs/2110.01529 (2021) - [i93]Minghan Li, Jimmy Lin:
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering. CoRR abs/2110.01599 (2021) - [i92]Joel Mackenzie, Andrew Trotman, Jimmy Lin:
Wacky Weights in Learned Sparse Representations and the Revenge of Score-at-a-Time Query Evaluation. CoRR abs/2110.11540 (2021) - [i91]Sheng-Chieh Lin, Jimmy Lin:
Densifying Sparse Representations for Passage Retrieval by Representational Slicing. CoRR abs/2112.04666 (2021) - [i90]Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. CoRR abs/2112.06400 (2021) - [i89]Jheng-Hong Yang, Xueguang Ma, Jimmy Lin:
Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking. CoRR abs/2112.09628 (2021) - 2020
- [j57]Samantha Fritz, Ian Milligan, Nick Ruest, Jimmy Lin:
Building community at distance: a datathon during COVID-19. Digit. Libr. Perspect. 36(4): 415-428 (2020) - [j56]Rodrigo Frassetto Nogueira, Zhiying Jiang, Kyunghyun Cho, Jimmy Lin:
Navigation-based candidate expansion and pretrained language models for citation recommendation. Scientometrics 125(3): 3001-3016 (2020) - [j55]Siddhartha Sahu, Amine Mhedhbi, Semih Salihoglu, Jimmy Lin, M. Tamer Özsu:
The ubiquity of large graphs and surprising challenges of graph processing: extended survey. VLDB J. 29(2-3): 595-618 (2020) - [c262]Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin:
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. ACL 2020: 2246-2251 - [c261]Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin:
Showing Your Work Doesn't Always Work. ACL 2020: 2766-2772 - [c260]Hamidreza Shahidi, Ming Li, Jimmy Lin:
Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data. ACL 2020: 3864-3870 - [c259]Rodrigo Frassetto Nogueira, Zhiying Jiang, Kyunghyun Cho, Jimmy Lin:
Evaluating Pretrained Transformer Models for Citation Recommendation. BIR@ECIR 2020: 89-100 - [c258]Jimmy Lin, Ian Milligan, Douglas W. Oard, Nick Ruest, Katie Shilton:
We Could, but Should We?: Ethical Considerations for Providing Access to GeoCities and Other Historical Digital Collections. CHIIR 2020: 135-144 - [c257]Royal Sequiera, Luchen Tan, Yinan Zhang, Jimmy Lin:
Update Delivery Mechanisms for Prospective Information Needs: A Reproducibility Study. CHIIR 2020: 308-312 - [c256]Andrew Yates, Kevin Martin Jose, Xinyu Zhang, Jimmy Lin:
Flexible IR Pipelines with Capreolus. CIKM 2020: 3181-3188 - [c255]Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models. COLING 2020: 3449-3453 - [c254]Adrien Grand, Robert Muir, Jim Ferenczi, Jimmy Lin:
From MAXSCORE to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance. ECIR (2) 2020: 20-27 - [c253]Chris Kamphuis, Arjen P. de Vries, Leonid Boytsov, Jimmy Lin:
Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants. ECIR (2) 2020: 28-34 - [c252]Jimmy Lin, Qian Zhang:
Reproducibility is a Process, Not an Achievement: The Replicability of IR Reproducibility Experiments. ECIR (2) 2020: 43-49 - [c251]Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. SDP@EMNLP 2020: 31-41 - [c250]Ji Xin, Rodrigo Nogueira, Yaoliang Yu, Jimmy Lin:
Early Exiting BERT for Efficient Document Ranking. SustaiNLP@EMNLP 2020: 83-88 - [c249]Xinyu Zhang, Andrew Yates, Jimmy Lin:
A Little Bit Is Worse Than None: Ranking with Limited Training Data. SustaiNLP@EMNLP 2020: 107-112 - [c248]Shane Ding, Edwin Zhang, Jimmy Lin:
Cydex: Neural Search Infrastructure for the Scholarly Literature. SDP@EMNLP 2020: 168-173 - [c247]Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, Jimmy Lin:
Document Ranking with a Pretrained Sequence-to-Sequence Model. EMNLP (Findings) 2020: 708-718 - [c246]Peng Shi, He Bai, Jimmy Lin:
Cross-Lingual Training of Neural Models for Document Ranking. EMNLP (Findings) 2020: 2768-2773 - [c245]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
Inserting Information Bottleneck for Attribution in Transformers. EMNLP (Findings) 2020: 3850-3857 - [c244]Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo I. Seltzer:
Generalized and Scalable Optimal Sparse Decision Trees. ICML 2020: 6150-6160 - [c243]Zhengkai Tu, Wei Yang, Zihang Fu, Yuqing Xie, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
Approximate Nearest Neighbor Search and Lightweight Dense Vector Reranking in Multi-Stage Retrieval Architectures. ICTIR 2020: 97-100 - [c242]Nick Ruest, Jimmy Lin, Ian Milligan, Samantha Fritz:
The Archives Unleashed Project: Technology, Process, and Community to Improve Scholarly Access to Web Archives. JCDL 2020: 157-166 - [c241]Tobi Adewoye, Xiao Han, Nick Ruest, Ian Milligan, Samantha Fritz, Jimmy Lin:
Content-Based Exploration of Archival Images Using Neural Networks. JCDL 2020: 489-490 - [c240]Martin Gauch, James Bai, Juliane Mai, Jimmy Lin:
An Open-Source Interface to the Canadian Surface Prediction Archive. JCDL 2020: 529-530 - [c239]Venu Satuluri, Yao Wu, Xun Zheng, Yilei Qian, Brian Wichers, Qieyun Dai, Gui Ming Tang, Jerry Jiang, Jimmy Lin:
SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter. KDD 2020: 3183-3193 - [c238]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton, Jimmy Lin:
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT. RepL4NLP@ACL 2020: 72-77 - [c237]Zeynep Akkalyoncu Yilmaz, Charles L. A. Clarke, Jimmy Lin:
A Lightweight Environment for Learning Experimental IR Research Practices. SIGIR 2020: 2113-2116 - [c236]Jimmy Lin, Joel M. Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michal Siedlaczek, Andrew Trotman, Arjen P. de Vries:
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. SIGIR 2020: 2149-2152 - [c235]Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
TREC 2020 Notebook: CAsT Track. TREC 2020 - [c234]Ronak Pradeep, Xueguang Ma, Xinyu Zhang, Hang Cui, Ruizhou Xu, Rodrigo Nogueira, Jimmy Lin:
H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. TREC 2020 - [c233]Andrew Yates, Siddhant Arora, Xinyu Zhang, Wei Yang, Kevin Martin Jose, Jimmy Lin:
Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval. WSDM 2020: 861-864 - [c232]Yuqing Xie, Wei Yang, Luchen Tan, Kun Xiong, Nicholas Jing Yuan, Baoxing Huai, Ming Li, Jimmy Lin:
Distant Supervision for Multi-Stage Fine-Tuning in Retrieval-Based Question Answering. WWW 2020: 2934-2940 - [i88]Nick Ruest, Jimmy Lin, Ian Milligan, Samantha Fritz:
The Archives Unleashed Project: Technology, Process, and Community to Improve Scholarly Access to Web Archives. CoRR abs/2001.05399 (2020) - [i87]Rodrigo Frassetto Nogueira, Zhiying Jiang, Kyunghyun Cho, Jimmy Lin:
Navigation-Based Candidate Expansion and Pretrained Language Models for Citation Recommendation. CoRR abs/2001.08687 (2020) - [i86]Jimmy Lin:
A Prototype of Serverless Lucene. CoRR abs/2002.01447 (2020) - [i85]Ruixue Zhang, Wei Yang, Luyun Lin, Zhengkai Tu, Yuqing Xie, Zihang Fu, Yuhao Xie, Luchen Tan, Kun Xiong, Jimmy Lin:
Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents. CoRR abs/2002.01861 (2020) - [i84]Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin:
Document Ranking with a Pretrained Sequence-to-Sequence Model. CoRR abs/2003.06713 (2020) - [i83]Jimmy Lin, Joel M. Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michal Siedlaczek, Andrew Trotman, Arjen P. de Vries:
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. CoRR abs/2003.08276 (2020) - [i82]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
TTTTTackling WinoGrande Schemas. CoRR abs/2003.08380 (2020) - [i81]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models. CoRR abs/2004.01909 (2020) - [i80]He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li:
Semantics of the Unwritten. CoRR abs/2004.02251 (2020) - [i79]Edwin Zhang, Nikhil Gupta, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Jimmy Lin:
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned. CoRR abs/2004.05125 (2020) - [i78]Raphael Tang, Rodrigo Frassetto Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin:
Rapidly Bootstrapping a Question Answering Dataset for COVID-19. CoRR abs/2004.11339 (2020) - [i77]Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin:
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. CoRR abs/2004.12993 (2020) - [i76]Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin:
Showing Your Work Doesn't Always Work. CoRR abs/2004.13705 (2020) - [i75]He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Ming Li:
SegaBERT: Pre-training of Segment-aware BERT for Language Understanding. CoRR abs/2004.14996 (2020) - [i74]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Query Reformulation using Query History for Passage Retrieval in Conversational Search. CoRR abs/2005.02230 (2020) - [i73]