Bhaskar Mitra

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All published works

Action	Title	Year	Authors
+ PDF Chat	JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment	2024	Hossein A. Rahmani Emine Yılmaz Nick Craswell Bhaskar Mitra
+ PDF Chat	SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval	2024	Hossein A. Rahmani Xi Wang Emine Yilmaz Nick Craswell Bhaskar Mitra Paul Thomas
+ PDF Chat	LLMJudge: LLMs for Relevance Judgments	2024	Hossein A. Rahmani Emine Yilmaz Nick Craswell Bhaskar Mitra Paul Thomas Charles L. A. Clarke Mohammad Aliannejadi Clemencia Siro Guglielmo Faggioli
+ PDF Chat	Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024	2024	Hossein A. Rahmani Clemencia Siro Mohammad Aliannejadi Nick Craswell Charles L. A. Clarke Guglielmo Faggioli Bhaskar Mitra Paul Thomas Emine Yilmaz
+	Towards Group-aware Search Success	2024	Haolun Wu Bhaskar Mitra Nick Craswell
+ PDF Chat	Synthetic Test Collections for Retrieval Evaluation	2024	Hossein A. Rahmani Nick Craswell Emine Yilmaz Bhaskar Mitra Daniel Campos
+ PDF Chat	Large Language Models can Accurately Predict Searcher Preferences	2024	Paul Thomas Seth Spielman Nick Craswell Bhaskar Mitra
+ PDF Chat	A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers	2024	Anna Gausen Bhaskar Mitra Siân Lindley
+ PDF Chat	Sociotechnical Implications of Generative Artificial Intelligence for Information Access	2024	Bhaskar Mitra Henriette Cramer Olya Gurevich
+ PDF Chat	Synthetic Test Collections for Retrieval Evaluation	2024	Hossein A. Rahmani Nick Craswell Emine Yılmaz Bhaskar Mitra Daniel Campos
+ PDF Chat	Towards Group-aware Search Success	2024	Haolun Wu Bhaskar Mitra Nick Craswell
+ PDF Chat	Result Diversification in Search and Recommendation: A Survey	2024	Haolun Wu Yansen Zhang Chen Ma Fuyuan Lyu Bowei He Bhaskar Mitra Xue Liu
+ PDF Chat	Structured Entity Extraction Using Large Language Models	2024	Haolun Wu Ye Yuan Liana Mikaelyan Alexander Meulemans Xue Liu James Hensman Bhaskar Mitra
+ PDF Chat	Three-Stage Adjusted Regression Forecasting (TSARF) for Software Defect Prediction	2024	Shadow Pritchard Bhaskar Mitra Vidhyashree Nagaraju
+	Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems	2024	Karina Cortiñas-Lorenzo Siân Lindley Ida Larsen-Ledet Bhaskar Mitra
+ PDF Chat	Patterns of Gender-Specializing Query Reformulation	2023	Amifa Raj Bhaskar Mitra Nick Craswell Michael D. Ekstrand
+	Taking Search to Task	2023	Chirag Shah Ryen W. White Paul Thomas Bhaskar Mitra Shawon Sarkar Nicholas J. Belkin
+	Recall, Robustness, and Lexicographic Evaluation	2023	Fernando Díaz Bhaskar Mitra
+	Patterns of gender-specializing query reformulation	2023	Amifa Raj Bhaskar Mitra Nick Craswell Michael D. Ekstrand
+	Large language models can accurately predict searcher preferences	2023	Paul Thomas Seth Spielman Nick Craswell Bhaskar Mitra
+	KBFormer: A Diffusion Model for Structured Entity Completion	2023	O. Kitouni Niklas Stefan Nolte James Hensman Bhaskar Mitra
+	A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers	2023	Anna Gausen Bhaskar Mitra Siân Lindley
+ PDF Chat	Joint Multisided Exposure Fairness for Recommendation	2022	Haolun Wu Bhaskar Mitra Chen Ma Fernando Díaz Xue Liu
+ PDF Chat	Exposing Query Identification for Search Transparency	2022	Ruohan Li Jianxiang Li Bhaskar Mitra Fernando Díaz Asia J. Biega
+ PDF Chat	Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness	2022	Nicola Neophytou Bhaskar Mitra Catherine Stinson
+ PDF Chat	Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation?	2022	Gabriella Kazai Bhaskar Mitra Anlei Dong Nick Craswell Linjun Yang
+	Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems	2022	Sebastian Hofstätter Nick Craswell Bhaskar Mitra Hamed Zamani Allan Hanbury
+	Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation?	2022	Gabriella Kazai Bhaskar Mitra Anlei Dong Nick Craswell Linjun Yang
+	Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems	2022	Ida Larsen-Ledet Bhaskar Mitra Siân Lindley
+	Joint Multisided Exposure Fairness for Recommendation	2022	Haolun Wu Bhaskar Mitra Chen Ma Fernando Díaz Xue Liu
+ PDF Chat	MS MARCO: Benchmarking Ranking Models in the Large-Data Regime	2021	Nick Craswell Bhaskar Mitra Emine Yılmaz Daniel Campos Jimmy Lin
+ PDF Chat	Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence	2021	Bhaskar Mitra Sebastian Hofstätter Hamed Zamani Nick Craswell
+ PDF Chat	TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime	2021	Nick Craswell Bhaskar Mitra Emine Yılmaz Daniel Campos Ellen M. Voorhees Ian Soboroff
+ PDF Chat	Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard	2021	Jimmy Lin Daniel Campos Nick Craswell Bhaskar Mitra Emine Yılmaz
+ PDF Chat	Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models	2021	Daniel Cohen Bhaskar Mitra Oleg Lesota Navid Rekabsaz Carsten Eickhoff
+ PDF Chat	Neural methods for effective, efficient, and exposure-aware information retrieval	2021	Bhaskar Mitra
+	Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation.	2021	Haolun Wu Chen Ma Bhaskar Mitra Fernando Díaz Xue Liu
+	Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification	2021	Jaime Arguello Adam Ferguson Emery Fine Bhaskar Mitra Hamed Zamani Fernando Díaz
+	Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard	2021	Jimmy Lin Daniel Campos Nick Craswell Bhaskar Mitra Emine Yılmaz
+	MS MARCO: Benchmarking Ranking Models in the Large-Data Regime	2021	Nick Craswell Bhaskar Mitra Emine Yılmaz Daniel Campos Jimmy Lin
+	Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking	2021	Sebastian Hofstätter Bhaskar Mitra Hamed Zamani Nick Craswell Allan Hanbury
+	Overview of the TREC 2020 deep learning track	2021	Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Campos
+	Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness	2021	Nicola Neophytou Bhaskar Mitra Catherine Stinson
+	TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime	2021	Nick Craswell Bhaskar Mitra Emine Yılmaz Daniel Campos Ellen M. Voorhees Ian Soboroff
+	Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence	2021	Bhaskar Mitra Sebastian Hofstätter Hamed Zamani Nick Craswell
+	Multi-FR: A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation	2021	Haolun Wu Chen Ma Bhaskar Mitra Fernando Díaz Xue Liu
+	Exposing Query Identification for Search Transparency	2021	Ruohan Li Jianxiang Li Bhaskar Mitra Fernando Díaz Asia J. Biega
+	Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval	2020	Bhaskar Mitra
+ PDF Chat	Evaluating Stochastic Rankings with Expected Exposure	2020	Fernando Díaz Bhaskar Mitra Michael D. Ekstrand Asia J. Biega Ben Carterette
+ PDF Chat	ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search	2020	Nick Craswell Daniel Campos Bhaskar Mitra Emine Yılmaz Bodo Billerbeck
+	Semantic Product Search for Matching Structured Product Catalogs in E-Commerce.	2020	Jason Ingyu Choi Surya Kallumadi Bhaskar Mitra Eugene Agichtein Faizan Javed
+ PDF Chat	Analyzing and Learning from User Interactions for Search Clarification	2020	Hamed Zamani Bhaskar Mitra Everest Chen Gord Lueck Fernando Díaz Paul N. Bennett Nick Craswell Susan Dumais
+ PDF Chat	On the Reliability of Test Collections for Evaluating Systems of Different Types	2020	Emine Yılmaz Nick Craswell Bhaskar Mitra Daniel Campos
+ PDF Chat	Local Self-Attention over Long Text for Efficient Document Retrieval	2020	Sebastian Hofstätter Hamed Zamani Bhaskar Mitra Nick Craswell Allan Hanbury
+	Conformer-Kernel with Query Term Independence for Document Retrieval.	2020	Bhaskar Mitra Sebastian Hofstätter Hamed Zamani Nick Craswell
+	ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search	2020	Nick Craswell Daniel Campos Bhaskar Mitra Emine Yılmaz Bodo Billerbeck
+	Overview of the TREC 2019 deep learning track.	2020	Nick Craswell Bhaskar Mitra Emine Yılmaz Daniel Campos Ellen M. Voorhees
+ PDF Chat	Overview of the TREC 2019 deep learning track	2020	Nick Craswell Bhaskar Mitra Emine Yılmaz Daniel Campos Ellen M. Voorhees
+	Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track	2020	Bhaskar Mitra Sebastian Hofstätter Hamed Zamani Nick Craswell
+	Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval	2020	Bhaskar Mitra
+	Semantic Product Search for Matching Structured Product Catalogs in E-Commerce	2020	Jason Ingyu Choi Surya Kallumadi Bhaskar Mitra Eugene Agichtein Faizan Javed
+	Conformer-Kernel with Query Term Independence for Document Retrieval	2020	Bhaskar Mitra Sebastian Hofstätter Hamed Zamani Nick Craswell
+	ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search	2020	Nick Craswell Daniel Campos Bhaskar Mitra Emine Yılmaz Bodo Billerbeck
+	Analyzing and Learning from User Interactions for Search Clarification	2020	Hamed Zamani Bhaskar Mitra Everest Chen Gord Lueck Fernando Díaz Paul N. Bennett Nick Craswell Susan Dumais
+	Local Self-Attention over Long Text for Efficient Document Retrieval	2020	Sebastian Hofstätter Hamed Zamani Bhaskar Mitra Nick Craswell Allan Hanbury
+	On the Reliability of Test Collections for Evaluating Systems of Different Types	2020	Emine Yılmaz Nick Craswell Bhaskar Mitra Daniel Campos
+	Duet at TREC 2019 Deep Learning Track	2019	Bhaskar Mitra Nick Craswell
+ PDF Chat	Report on the First HIPstIR Workshop on the Future of Information Retrieval	2019	Laura Dietz Bhaskar Mitra Jeremy Pickens Hana Anber Sandeep Avula Asia J. Biega Adrian Boteanu Shubham Chatterjee Jeff Dalton Laura Dietz
+ PDF Chat	An Axiomatic Approach to Regularizing Neural Ranking Models	2019	Corby Rosset Bhaskar Mitra Chenyan Xiong Nick Craswell Song Xia Saurabh Tiwary
+	Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks	2019	Bhaskar Mitra Corby Rosset David Hawking Nick Craswell Fernando Díaz Emine Yılmaz
+	An Updated Duet Model for Passage Re-ranking	2019	Bhaskar Mitra Nick Craswell
+	Duet at TREC 2019 Deep Learning Track	2019	Bhaskar Mitra Nick Craswell
+	An Axiomatic Approach to Regularizing Neural Ranking Models	2019	Corby Rosset Bhaskar Mitra Chenyan Xiong Nick Craswell Song Xia Saurabh Tiwary
+	Report on the First HIPstIR Workshop on the Future of Information Retrieval	2019	Laura Dietz Bhaskar Mitra Jeremy Pickens Hana Anber Sandeep Avula Asia J. Biega Adrian Boteanu Shubham Chatterjee Jeff Dalton Shiri Dori-Hacohen
+	Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks	2019	Bhaskar Mitra Corby Rosset David Hawking Nick Craswell Fernando Díaz Emine Yılmaz
+	A Line in the Sand: Recommendation or Ad-hoc Retrieval?	2018	Surya Kallumadi Bhaskar Mitra Tereza Iofciu
+	Cross Domain Regularization for Neural Ranking Models using Adversarial Learning	2018	Daniel Cohen Bhaskar Mitra Katja Hofmann W. Bruce Croft
+ PDF Chat	Optimizing Query Evaluations Using Reinforcement Learning for Web Search	2018	Corby Rosset Damien Jose Gargi Ghosh Bhaskar Mitra Saurabh Tiwary
+	Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning.	2018	Daniel Cohen Bhaskar Mitra Katja Hofmann W. Bruce Croft
+	Optimizing Query Evaluations using Reinforcement Learning for Web Search	2018	Corby Rosset Damien Jose Gargi Ghosh Bhaskar Mitra Saurabh Tiwary
+ PDF Chat	Neural Ranking Models with Multiple Document Fields	2018	Hamed Zamani Bhaskar Mitra Song Xia Nick Craswell Saurabh Tiwary
+ PDF Chat	Neural Networks for Information Retrieval	2018	Tom Kenter Alexey Borisov C Gysel Mostafa Dehghani Maarten de Rijke Bhaskar Mitra
+	A Line in the Sand: Recommendation or Ad-hoc Retrieval?	2018	Surya Kallumadi Bhaskar Mitra Tereza Iofciu
+	Optimizing Query Evaluations using Reinforcement Learning for Web Search	2018	Corby Rosset Damien Jose Gargi Ghosh Bhaskar Mitra Saurabh Tiwary
+	Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning	2018	Daniel A. Cohen Bhaskar Mitra Katja Hofmann W. Bruce Croft
+	Neural Networks for Information Retrieval	2018	Tom Kenter Alexey Borisov C Gysel Mostafa Dehghani Maarten de Rijke Bhaskar Mitra
+	Neural Ranking Models with Multiple Document Fields	2017	Hamed Zamani Bhaskar Mitra Song Xia Nick Craswell Saurabh Tiwary
+ PDF Chat	Reply With	2017	C Gysel Bhaskar Mitra Matteo Venanzi Roy Rosemarin Grzegorz Kukła Piotr Grudzien Nicola Cancedda
+ PDF Chat	Benchmark for Complex Answer Retrieval	2017	Federico Nanni Bhaskar Mitra Matt Magnusson Laura Dietz
+ PDF Chat	Neural Networks for Information Retrieval	2017	Tom Kenter Alexey Borisov C Gysel Mostafa Dehghani Maarten de Rijke Bhaskar Mitra
+	Toward Incorporation of Relevant Documents in word2vec	2017	Navid Rekabsaz Bhaskar Mitra Mihai Lupu Allan Hanbury
+	Neural Models for Information Retrieval	2017	Bhaskar Mitra Nick Craswell
+ PDF Chat	Learning to Match using Local and Distributed Representations of Text for Web Search	2017	Bhaskar Mitra Fernando Díaz Nick Craswell
+	Luandri: a Clean Lua Interface to the Indri Search Engine	2017	Bhaskar Mitra Fernando Díaz Nick Craswell
+	Neural Networks for Information Retrieval	2017	Tom Kenter Alexey Borisov C Gysel Mostafa Dehghani Maarten de Rijke Bhaskar Mitra
+	Neural Ranking Models with Multiple Document Fields	2017	Hamed Zamani Bhaskar Mitra Song Xia Nick Craswell Saurabh Tiwary
+	Toward Incorporation of Relevant Documents in word2vec	2017	Navid Rekabsaz Bhaskar Mitra Mihai Lupu Allan Hanbury
+	Benchmark for Complex Answer Retrieval	2017	Federico Nanni Bhaskar Mitra Matt Magnusson Laura Dietz
+	Neural Models for Information Retrieval	2017	Bhaskar Mitra Nick Craswell
+	Learning to Match Using Local and Distributed Representations of Text for Web Search	2016	Bhaskar Mitra Fernando Díaz Nick Craswell
+	Query Expansion with Locally-Trained Word Embeddings	2016	Fernando Díaz Bhaskar Mitra Nick Craswell
+	A Dual Embedding Space Model for Document Ranking	2016	Bhaskar Mitra Eric Nalisnick Nick Craswell Rich Caruana
+ PDF Chat	Query Expansion with Locally-Trained Word Embeddings	2016	Fernando Díaz Bhaskar Mitra Nick Craswell
+	MS MARCO: A Human Generated MAchine Reading COmprehension Dataset	2016	Payal Bajaj Daniel Campos Nick Craswell Li Deng Jianfeng Gao Xiaodong Liu Rangan Majumder Andrew McNamara Bhaskar Mitra Tri Gia Nguyen
+	Query Expansion with Locally-Trained Word Embeddings	2016	Fernando Díaz Bhaskar Mitra Nick Craswell
+	Learning to Match Using Local and Distributed Representations of Text for Web Search	2016	Bhaskar Mitra Fernando Díaz Nick Craswell

Common Coauthors

Coauthor	Papers Together
Nick Craswell	60
Fernando Díaz	20
Emine Yılmaz	17
Daniel Campos	17
Hamed Zamani	15
Saurabh Tiwary	9
Sebastian Hofstätter	9
Haolun Wu	7
Corby Rosset	7
Song Xia	6
Allan Hanbury	6
Hossein A. Rahmani	6
Chen Ma	5
Emine Yilmaz	5
Xue Liu	5
Asia J. Biega	5
C Gysel	5
Jimmy Lin	4
Laura Dietz	4
Siân Lindley	4
Surya Kallumadi	4
Maarten de Rijke	4
Mostafa Dehghani	4
Tom Kenter	4
Ellen M. Voorhees	4
Katja Hofmann	3
Gargi Ghosh	3
Paul Thomas	3
Bodo Billerbeck	3
Navid Rekabsaz	3
Damien Jose	3
Michael D. Ekstrand	3
Daniel Cohen	3
Jianxiang Li	2
Pallika Kanani	2
Alexey Borisov	2
Sumanta Kashyapi	2
Shiri Dori-Hacohen	2
John F. Foley	2
Clemencia Siro	2
Ian Soboroff	2
Catherine Stinson	2
Widad Machmouchi	2
Jordan Ramsdell	2
Tereza Iofciu	2
Adam Roegiest	2
Sandeep Avula	2
Steve Nole	2
Charles L. A. Clarke	2
Jeremy Pickens	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Learning to Match using Local and Distributed Representations of Text for Web Search	2017	Bhaskar Mitra Fernando Díaz Nick Craswell	28
+	MS MARCO: A Human Generated MAchine Reading COmprehension Dataset	2016	Payal Bajaj Daniel Campos Nick Craswell Li Deng Jianfeng Gao Xiaodong Liu Rangan Majumder Andrew McNamara Bhaskar Mitra Tri Gia Nguyen	18
+ PDF Chat	Neural Ranking Models with Multiple Document Fields	2018	Hamed Zamani Bhaskar Mitra Song Xia Nick Craswell Saurabh Tiwary	14
+	A Dual Embedding Space Model for Document Ranking	2016	Bhaskar Mitra Eric Nalisnick Nick Craswell Rich Caruana	12
+ PDF Chat	Benchmark for Complex Answer Retrieval	2017	Federico Nanni Bhaskar Mitra Matt Magnusson Laura Dietz	10
+ PDF Chat	A Deep Relevance Matching Model for Ad-hoc Retrieval	2016	Jiafeng Guo Yixing Fan Qingyao Ai W. Bruce Croft	10
+ PDF Chat	Overview of the TREC 2019 deep learning track	2020	Nick Craswell Bhaskar Mitra Emine Yılmaz Daniel Campos Ellen M. Voorhees	9
+ PDF Chat	End-to-End Neural Ad-hoc Ranking with Kernel Pooling	2017	Chenyan Xiong Zhuyun Dai Jamie Callan Zhiyuan Liu Russell Power	9
+ PDF Chat	Local Self-Attention over Long Text for Efficient Document Retrieval	2020	Sebastian Hofstätter Hamed Zamani Bhaskar Mitra Nick Craswell Allan Hanbury	9
+	An Updated Duet Model for Passage Re-ranking	2019	Bhaskar Mitra Nick Craswell	8
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jay B. Dean	8
+	Passage Re-ranking with BERT	2019	Rodrigo Nogueira Kyunghyun Cho	8
+ PDF Chat	Optimizing Query Evaluations Using Reinforcement Learning for Web Search	2018	Corby Rosset Damien Jose Gargi Ghosh Bhaskar Mitra Saurabh Tiwary	8
+	Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks	2019	Bhaskar Mitra Corby Rosset David Hawking Nick Craswell Fernando Díaz Emine Yılmaz	7
+	Document Expansion by Query Prediction	2019	Rodrigo Nogueira Wei Yang Jimmy Lin Kyunghyun Cho	7
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	7
+	Convolutional Neural Network Architectures for Matching Natural Language Sentences	2015	Baotian Hu Zhengdong Lu Hang Li Qingcai Chen	7
+ PDF Chat	Evaluating Stochastic Rankings with Expected Exposure	2020	Fernando Díaz Bhaskar Mitra Michael D. Ekstrand Asia J. Biega Ben Carterette	6
+	Cross Domain Regularization for Neural Ranking Models using Adversarial Learning	2018	Daniel Cohen Bhaskar Mitra Katja Hofmann W. Bruce Croft	6
+	XLNet: Generalized Autoregressive Pretraining for Language Understanding	2019	Zhilin Yang Zihang Dai Yiming Yang Jaime Carbonell Ruslan Salakhutdinov Quoc V. Le	5
+	The Analysis of Permutations	1975	R. L. Plackett	5
+ PDF Chat	TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime	2021	Nick Craswell Bhaskar Mitra Emine Yılmaz Daniel Campos Ellen M. Voorhees Ian Soboroff	5
+	Conformer-Kernel with Query Term Independence for Document Retrieval.	2020	Bhaskar Mitra Sebastian Hofstätter Hamed Zamani Nick Craswell	5
+ PDF Chat	Learning Latent Vector Spaces for Product Search	2016	C Gysel Maarten de Rijke Evangelos Kanoulas	5
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	5
+	Pretrained Transformers for Text Ranking: BERT and Beyond	2020	Jimmy Lin Rodrigo Nogueira Andrew Yates	5
+	Exploring the Limits of Language Modeling	2016	Rafał Józefowicz Oriol Vinyals Mike Schuster Noam Shazeer Yonghui Wu	5
+	Using Word Embeddings for Automatic Query Expansion	2016	Dwaipayan Roy Debjyoti Paul Mandar Mitra Utpal Garain	4
+	Bag of Tricks for Efficient Text Classification	2016	Armand Joulin Édouard Grave Piotr Bojanowski Tomáš Mikolov	4
+	Unbiased Learning-to-Rank with Biased Feedback	2017	Thorsten Joachims Adith Swaminathan Tobias Schnabel	4
+	A Study of MatchPyramid Models on Ad-hoc Retrieval	2016	Liang Pang Yanyan Lan Jiafeng Guo Jun Xu Xueqi Cheng	4
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	4
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	4
+	A Neural Conversational Model	2015	Oriol Vinyals Quoc V. Le	4
+	Fairness of Exposure in Rankings	2018	Ashudeep Singh Thorsten Joachims	4
+ PDF Chat	FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms	2020	Gourab K Patro Arpita Biswas Niloy Ganguly Krishna P. Gummadi Abhijnan Chakraborty	4
+	Multisided Fairness for Recommendation.	2017	Robin Burke	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	4
+ PDF Chat	Reply With	2017	C Gysel Bhaskar Mitra Matteo Venanzi Roy Rosemarin Grzegorz Kukła Piotr Grudzien Nicola Cancedda	4
+	Deeper Text Understanding for IR with Contextual Neural Language Modeling	2019	Zhuyun Dai Jamie Callan	4
+	Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval	2020	Lee Xiong Chenyan Xiong Ye Li Kwok-Fung Tang Jialin Liu Paul N. Bennett Junaid Ahmed Arnold Overwijk	4
+ PDF Chat	Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models	2019	Wei Yang Kuang Lu Peilin Yang Jimmy Lin	4
+	The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables	2016	Chris J. Maddison Andriy Mnih Yee Whye Teh	3
+ PDF Chat	Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books	2015	Yukun Zhu Ryan Kiros Rich Zemel Ruslan Salakhutdinov Raquel Urtasun Antonio Torralba Sanja Fidler	3
+	Query Expansion with Locally-Trained Word Embeddings	2016	Fernando Díaz Bhaskar Mitra Nick Craswell	3
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	3
+	Text Matching as Image Recognition	2016	Liang Pang Yanyan Lan Jiafeng Guo Jun Xu Shengxian Wan Xueqi Cheng	3
+	Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks	2015	Jason Weston Antoine Bordes Sumit Chopra Alexander M. Rush Bart van Merriënboer Armand Joulin Tomáš Mikolov	3
+	Teaching Machines to Read and Comprehend	2015	Karl Moritz Hermann Tomáš Kočiský Edward Grefenstette Lasse Espeholt Will Kay Mustafa Suleyman Phil Blunsom	3