Rajarshi Das

According to our database, Rajarshi Das authored at least 82 papers between 1989 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Constrained Decoding with Speculative Lookaheads.

Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi Das, Suthee Chaidaroon, Leonid Boytsov, Rashmi Gangadharaiah

CoRR, 2024

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA.

Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah

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

Resource Aware power modelling for compute-bound tasks on GPUs.

Rajarshi Das, Sachit Rao

Proceedings of the 2024 8th High Performance Computing and Cluster Technologies Conference, 2024

2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum

CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum

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

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, Hannaneh Hajishirzi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories.

Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Hannaneh Hajishirzi, Daniel Khashabi

CoRR, 2022

CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases.

Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum

CoRR, 2022

DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions.

Neha Nayak Kennard, Tim O'Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Knowledge Base Question Answering by Case-based Reasoning over Subgraphs.

Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum

Proceedings of the International Conference on Machine Learning, 2022

Calibration of Machine Reading Systems at Scale.

Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan

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

2021

A Dataset for Discourse Structure in Peer Review Discussions.

Neha Nayak Kennard, Tim O'Gorman, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Rajarshi Das, Hamed Zamani, Andrew McCallum

CoRR, 2021

Case-based Reasoning for Natural Language Queries over Knowledge Bases.

Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Long Document Summarization in a Low Resource Setting using Pretrained Language Models.

Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion.

Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum

CoRR, 2020

An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text.

Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O'Gorman, Rajarshi Das, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Probabilistic Case-based Reasoning in Knowledge Bases.

Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning.

Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Simple Approach to Case-Based Reasoning in Knowledge Bases.

Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019

Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference.

Rajarshi Das, Ameya Godbole, Manzil Zaheer, Shehzaad Dhuliawala, Andrew McCallum

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension.

Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum

Proceedings of the 7th International Conference on Learning Representations, 2019

Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering.

Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum

Proceedings of the 7th International Conference on Learning Representations, 2019

A Survey on Semantic Parsing.

Aishwarya Kamath, Rajarshi Das

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Optimal Transport-based Alignment of Learned Character Representations for String Similarity.

Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Do Multi-hop Readers Dream of Reasoning Chains?

Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering.

Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading.

Martin Raison, Pierre-Emmanuel Mazaré, Rajarshi Das, Antoine Bordes

CoRR, 2018

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.

Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum

Proceedings of the 6th International Conference on Learning Representations, 2018

An Interface for Annotating Science Questions.

Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.

Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks.

Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Learning String Alignments for Entity Aliases.

Aaron Traylor, Nicholas Monath, Rajarshi Das, Andrew McCallum

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning.

Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks.

Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Incorporating Selectional Preferences in Multi-hop Relation Extraction.

Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum

Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

2015

Dynamic reconfiguration of IO adapters for real-time outage prevention.

Rajarshi Das, Vishal Mansur, Nikhil Hegde, Omar Cardona

Proceedings of the Posters and Demos Session of the 16th International Middleware Conference, 2015

A framework for analyzing publicly available healthcare data.

A. Ravishankar Rao, Atul Chhabra, Rajarshi Das, Vikash Ruhil

Proceedings of the 17th International Conference on E-health Networking, 2015

Gaussian LDA for Topic Models with Word Embeddings.

Rajarshi Das, Manzil Zaheer, Chris Dyer

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013

From sensing to controlling: the state of the art in ubiquitous crowdsourcing.

Maja Vukovic, Rajarshi Das, Soundar R. T. Kumara

Int. J. Commun. Networks Distributed Syst., 2013

Agile, efficient virtualization power management with low-latency server power states.

Canturk Isci, Suzanne McIntosh, Jeffrey O. Kephart, Rajarshi Das, James E. Hanson, Scott Piper, Robert R. Wolford, Thomas Brey, Robert Kantner, Allen Ng, James Norris, Abdoulaye Traore, Michael Frissora

Proceedings of the 40th Annual International Symposium on Computer Architecture, 2013

Decision Making in Enterprise Crowdsourcing Services.

Maja Vukovic, Rajarshi Das

Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

2012

Assessing Product Quality through PMR Analysis: A Perspective.

Rajarshi Das

Proceedings of the 23rd IEEE International Symposium on Software Reliability Engineering Workshops, 2012

2011

A unified approach to coordinated energy-management in data centers.

Rajarshi Das, Srinivas Yarlanki, Hendrik F. Hamann, Jeffrey O. Kephart, Vanessa López

Proceedings of the 7th International Conference on Network and Service Management, 2011

2010

Social navigation for the spoken web.

Robert G. Farrell, Nitendra Rajput, Rajarshi Das, Catalina M. Danis, Ketki A. Dhanesha

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Utility-function-driven energy-efficient cooling in data centers.

Rajarshi Das, Jeffrey O. Kephart, Jonathan Lenchner, Hendrik F. Hamann

Proceedings of the 7th International Conference on Autonomic Computing, 2010

Social Navigation through the Spoken Web: Improving Audio Access through Collaborative Filtering in Gujarat, India.

Robert G. Farrell, Rajarshi Das, Nitendra Rajput

Proceedings of the Artificial Intelligence for Development, 2010

2009

Optimal power allocation in server farms.

Anshul Gandhi, Mor Harchol-Balter, Rajarshi Das, Charles Lefurgy

Proceedings of the Eleventh International Joint Conference on Measurement and Modeling of Computer Systems, 2009

Expressive Power-Based Resource Allocation for Data Centers.

Benjamin Lubin, Jeffrey O. Kephart, Rajarshi Das, David C. Parkes

Proceedings of the IJCAI 2009, 2009

2008

Autonomic multi-agent management of power and performance in data centers.

Rajarshi Das, Jeffrey O. Kephart, Charles Lefurgy, Gerald Tesauro, David W. Levine, Hoi Y. Chan

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007

Achieving Self-Management via Utility Functions.

Jeffrey O. Kephart, Rajarshi Das

IEEE Internet Comput., 2007

On the use of hybrid reinforcement learning for autonomic resource allocation.

Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani

Clust. Comput., 2007

X-Online: An Online Interface for Digital Decryption Tools.

Sudhir Aggarwal, Daniel Beech, Rajarshi Das, Breno de Medeiros, Eric Thompson

Proceedings of the Second International Workshop on Systematic Approaches to Digital Forensic Engineering, 2007

Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning.

Gerald Tesauro, Rajarshi Das, Hoi Y. Chan, Jeffrey O. Kephart, David W. Levine, Freeman L. Rawson III, Charles Lefurgy

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs.

Jeffrey O. Kephart, Hoi Y. Chan, Rajarshi Das, David W. Levine, Gerald Tesauro, Freeman L. Rawson III, Charles Lefurgy

Proceedings of the Fourth International Conference on Autonomic Computing (ICAC'07), 2007

2006

Experience with collaborating managers: node group manager and provisioning manager.

Ian Whalley, Asser N. Tantawi, Malgorzata Steinder, Mike Spreitzer, Giovanni Pacifici, Rajarshi Das, David M. Chess

Clust. Comput., 2006

A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation.

Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani

Proceedings of the 3rd International Conference on Autonomic Computing, 2006

Towards Commercialization of Utility-based Resource Allocation.

Rajarshi Das, Jeffrey O. Kephart, Ian Whalley, Paul Vytas

Proceedings of the 3rd International Conference on Autonomic Computing, 2006

Improvement of Systems Management Policies Using Hybrid Reinforcement Learning.

Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani

Proceedings of the Machine Learning: ECML 2006, 2006

Utility-based collaboration among autonomous agents for resource allocation in data centers.

Rajarshi Das, Ian Whalley, Jeffrey O. Kephart

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

2005

Utility-Function-Driven Resource Allocation in Autonomic Systems.

Gerald Tesauro, Rajarshi Das, William E. Walsh, Jeffrey O. Kephart

Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

New Approaches to Optimization and Utility Elicitation in Autonomic Computing.

Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh

Proceedings of the Proceedings, 2005

2004

Utility Functions in Autonomic Systems.

William E. Walsh, Gerald Tesauro, Jeffrey O. Kephart, Rajarshi Das

Proceedings of the 1st International Conference on Autonomic Computing (ICAC 2004), 2004

A Multi-Agent Systems Approach to Autonomic Computing.

Gerald Tesauro, David M. Chess, William E. Walsh, Rajarshi Das, Alla Segal, Ian Whalley, Jeffrey O. Kephart, Steve R. White

Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003

Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation.

Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh

Proceedings of the UAI '03, 2003

Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems.

Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, William E. Walsh

Proceedings of the IJCAI-03, 2003

Choosing Samples to Compute Heuristic-Strategy Nash Equilibrium.

William E. Walsh, David C. Parkes, Rajarshi Das

Proceedings of the Agent-Mediated Electronic Commerce V, 2003

2002

Model Selection in an Information Economy: Choosing What to Learn.

Christopher H. Brooks, Robert S. Gazzale, Rajarshi Das, Jeffrey O. Kephart, Jeffrey K. MacKie-Mason, Edmund H. Durfee

Comput. Intell., 2002

2001

High-performance bidding agents for the continuous double auction.

Gerald Tesauro, Rajarshi Das

Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

Pricing information bundles in a dynamic environment.

Jeffrey O. Kephart, Christopher H. Brooks, Rajarshi Das

Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

Agent-Human Interactions in the Continuous Double Auction.

Rajarshi Das, James E. Hanson, Jeffrey O. Kephart, Gerald Tesauro

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Price wars and niche discovery in an information economy.

Christopher H. Brooks, Edmund H. Durfee, Rajarshi Das

Proceedings of the 2nd ACM Conference on Electronic Commerce (EC-00), 2000

Dynamic Service Pricing for Brokers in a Multi-Agent Economy.

Prithviraj Dasgupta, Rajarshi Das

Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy.

Prithviraj Dasgupta, Rajarshi Das

Proceedings of the Cooperative Information Systems, 7th International Conference, 2000

1999

Automated strategy searches in an electronic goods market: learning and complex price schedules.

Christopher H. Brooks, Scott A. Fay, Rajarshi Das, Jeffrey K. MacKie-Mason, Jeffrey O. Kephart, Edmund H. Durfee

Proceedings of the First ACM Conference on Electronic Commerce (EC-99), 1999

Two-Sided Learning in an Agent Economy for Information Bundles.

Jeffrey O. Kephart, Rajarshi Das, Jeffrey K. MacKie-Mason

Proceedings of the Agent Mediated Electronic Commerce II, 1999

1995

Evolving Globally Synchronized Cellular Automata.

Rajarshi Das, James P. Crutchfield, Melanie Mitchell, James E. Hanson

Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994

A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata.

Rajarshi Das, Melanie Mitchell, James P. Crutchfield

Proceedings of the Parallel Problem Solving from Nature, 1994

Catching a Baseball: A Reinforcement Learning Perspective Using a Neural Network.

Rajarshi Das, Sreerupa Das

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1992

Tracking Primary Hyperplane Competitors During Genetic Search.

L. Darrell Whitley, Rajarshi Das, Curtis Crabb

Ann. Math. Artif. Intell., 1992

1991

Genetic Reinforcement Learning with Multilayer Neural Networks.

L. Darrell Whitley, Stephen Dominic, Rajarshi Das

Proceedings of the 4th International Conference on Genetic Algorithms, 1991

The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 Hyperplanes.

Rajarshi Das, L. Darrell Whitley

Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1989

A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization.

J. David Schaffer, Rich Caruana, Larry J. Eshelman, Rajarshi Das

Proceedings of the 3rd International Conference on Genetic Algorithms, 1989