Rajarshi Das

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 49

Top Topics

Semantic Parsing

Question Answering

Reading Comprehension

Top Venues

EMNLP (Findings)

Publications

Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, Hannaneh Hajishirzi
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories. ACL (1) (2023)
Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. CoRR (2023)
Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum
Machine Reading Comprehension using Case-based Reasoning. EMNLP (Findings) (2023)
Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
Machine Reading Comprehension using Case-based Reasoning. CoRR (2023)
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Hannaneh Hajishirzi, Daniel Khashabi
When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories. CoRR (2022)
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. ICML (2022)
Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan
Calibration of Machine Reading Systems at Scale. CoRR (2022)
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. CoRR (2022)
Neha Nayak Kennard, Tim O'Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum
DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions. NAACL-HLT (2022)
Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan
Calibration of Machine Reading Systems at Scale. ACL (Findings) (2022)
Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. CoRR (2022)
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
Case-based Reasoning for Natural Language Queries over Knowledge Bases. CoRR (2021)
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. CoRR (2021)
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. ACL (student) (2021)
Neha Nayak Kennard, Tim O'Gorman, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Rajarshi Das, Hamed Zamani, Andrew McCallum
A Dataset for Discourse Structure in Peer Review Discussions. CoRR (2021)
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
Case-based Reasoning for Natural Language Queries over Knowledge Bases. EMNLP (1) (2021)
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
A Simple Approach to Case-Based Reasoning in Knowledge Bases. AKBC (2020)
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion. CoRR (2020)
Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. EMNLP (1) (2020)
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
Probabilistic Case-based Reasoning in Knowledge Bases. EMNLP (Findings) (2020)
Michael Boratko, Xiang Lorraine Li, Rajarshi Das, Tim O'Gorman, Dan Le, Andrew McCallum
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. CoRR (2020)
Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O'Gorman, Rajarshi Das, Andrew McCallum
An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. EMNLP (Findings) (2020)
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
A Simple Approach to Case-Based Reasoning in Knowledge Bases. CoRR (2020)
Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. MRQA@EMNLP (2019)
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
Optimal Transport-based Alignment of Learned Character Representations for String Similarity. ACL (1) (2019)
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP (2019)
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
Optimal Transport-based Alignment of Learned Character Representations for String Similarity. CoRR (2019)
Rajarshi Das, Ameya Godbole, Manzil Zaheer, Shehzaad Dhuliawala, Andrew McCallum
Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference. TextGraphs@EMNLP (2019)
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. ICLR (Poster) (2019)
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) (2019)
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. CoRR (2019)
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
Do Multi-hop Readers Dream of Reasoning Chains? CoRR (2019)
Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. CoRR (2019)
Aishwarya Kamath, Rajarshi Das
A Survey on Semantic Parsing. AKBC (2019)
Aishwarya Kamath, Rajarshi Das
A Survey on Semantic Parsing. CoRR (2018)
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. CoRR (2018)
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
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL (2018)
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. ICLR (Poster) (2018)
Martin Raison, Pierre-Emmanuel Mazaré, Rajarshi Das, Antoine Bordes
Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading. CoRR (2018)
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
An Interface for Annotating Science Questions. EMNLP (Demonstration) (2018)
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
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR (2018)
Aaron Traylor, Nicholas Monath, Rajarshi Das, Andrew McCallum
Learning String Alignments for Entity Aliases. AKBC@NIPS (2017)
Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. EACL (1) (2017)
Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. ACL (2) (2017)
Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. CoRR (2017)
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning. AKBC@NIPS (2017)
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alexander J. Smola, Andrew McCallum
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. CoRR (2017)
Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. CoRR (2016)
Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
Incorporating Selectional Preferences in Multi-hop Relation Extraction. AKBC@NAACL-HLT (2016)
Rajarshi Das, Vishal Mansur, Nikhil Hegde, Omar Cardona
Dynamic reconfiguration of IO adapters for real-time outage prevention. Middleware Posters and Demos (2015)
Rajarshi Das, Manzil Zaheer, Chris Dyer
Gaussian LDA for Topic Models with Word Embeddings. ACL (1) (2015)
A. Ravishankar Rao, Atul Chhabra, Rajarshi Das, Vikash Ruhil
A framework for analyzing publicly available healthcare data. HealthCom (2015)
Maja Vukovic, Rajarshi Das, Soundar R. T. Kumara
From sensing to controlling: the state of the art in ubiquitous crowdsourcing. Int. J. Commun. Networks Distributed Syst. 11 (1) (2013)
Maja Vukovic, Rajarshi Das
Decision Making in Enterprise Crowdsourcing Services. ICSOC (2013)
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
Agile, efficient virtualization power management with low-latency server power states. ISCA (2013)
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation CoRR (2012)
Rajarshi Das
Assessing Product Quality through PMR Analysis: A Perspective. ISSRE Workshops (2012)
Rajarshi Das, Srinivas Yarlanki, Hendrik F. Hamann, Jeffrey O. Kephart, Vanessa López
A unified approach to coordinated energy-management in data centers. CNSM (2011)
Robert G. Farrell, Nitendra Rajput, Rajarshi Das, Catalina M. Danis, Ketki A. Dhanesha
Social navigation for the spoken web. RecSys (2010)
Robert G. Farrell, Rajarshi Das, Nitendra Rajput
Social Navigation through the Spoken Web: Improving Audio Access through Collaborative Filtering in Gujarat, India. AAAI Spring Symposium: Artificial Intelligence for Development (2010)
Rajarshi Das, Jeffrey O. Kephart, Jonathan Lenchner, Hendrik F. Hamann
Utility-function-driven energy-efficient cooling in data centers. ICAC (2010)
Anshul Gandhi, Mor Harchol-Balter, Rajarshi Das, Charles Lefurgy
Optimal power allocation in server farms. SIGMETRICS/Performance (2009)
Benjamin Lubin, Jeffrey O. Kephart, Rajarshi Das, David C. Parkes
Expressive Power-Based Resource Allocation for Data Centers. IJCAI (2009)
Rajarshi Das, Jeffrey O. Kephart, Charles Lefurgy, Gerald Tesauro, David W. Levine, Hoi Y. Chan
Autonomic multi-agent management of power and performance in data centers. AAMAS (Industry Track) (2008)
Jeffrey O. Kephart, Hoi Y. Chan, Rajarshi Das, David W. Levine, Gerald Tesauro, Freeman L. Rawson III, Charles Lefurgy
Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs. ICAC (2007)
Jeffrey O. Kephart, Rajarshi Das
Achieving Self-Management via Utility Functions. IEEE Internet Comput. 11 (1) (2007)
Gerald Tesauro, Rajarshi Das, Hoi Y. Chan, Jeffrey O. Kephart, David Levine, Freeman L. Rawson III, Charles Lefurgy
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning. NIPS (2007)
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
On the use of hybrid reinforcement learning for autonomic resource allocation. Clust. Comput. 10 (3) (2007)
Sudhir Aggarwal, Daniel Beech, Rajarshi Das, Breno de Medeiros, Eric Thompson
X-Online: An Online Interface for Digital Decryption Tools. SADFE (2007)
Rajarshi Das, Jeffrey O. Kephart, Ian Whalley, Paul Vytas
Towards Commercialization of Utility-based Resource Allocation. ICAC (2006)
Ian Whalley, Asser N. Tantawi, Malgorzata Steinder, Mike Spreitzer, Giovanni Pacifici, Rajarshi Das, David M. Chess
Experience with collaborating managers: node group manager and provisioning manager. Clust. Comput. 9 (4) (2006)
Rajarshi Das, Ian Whalley, Jeffrey O. Kephart
Utility-based collaboration among autonomous agents for resource allocation in data centers. AAMAS (2006)
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. ECML (2006)
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. ICAC (2006)
Gerald Tesauro, Rajarshi Das, William E. Walsh, Jeffrey O. Kephart
Utility-Function-Driven Resource Allocation in Autonomic Systems. ICAC (2005)
Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
New Approaches to Optimization and Utility Elicitation in Autonomic Computing. AAAI (2005)
Gerald Tesauro, David M. Chess, William E. Walsh, Rajarshi Das, Alla Segal, Ian Whalley, Jeffrey O. Kephart, Steve R. White
A Multi-Agent Systems Approach to Autonomic Computing. AAMAS (2004)
William E. Walsh, Gerald Tesauro, Jeffrey O. Kephart, Rajarshi Das
Utility Functions in Autonomic Systems. ICAC (2004)
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, William E. Walsh
Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems. IJCAI (2003)
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. UAI (2003)
William E. Walsh, David C. Parkes, Rajarshi Das
Choosing Samples to Compute Heuristic-Strategy Nash Equilibrium. AMEC (2003)
Christopher H. Brooks, Robert S. Gazzale, Rajarshi Das, Jeffrey O. Kephart, Jeffrey K. MacKie-Mason, Edmund H. Durfee
Model Selection in an Information Economy: Choosing What to Learn. Comput. Intell. 18 (4) (2002)
Jeffrey O. Kephart, Christopher H. Brooks, Rajarshi Das
Pricing information bundles in a dynamic environment. EC (2001)
Gerald Tesauro, Rajarshi Das
High-performance bidding agents for the continuous double auction. EC (2001)
Rajarshi Das, James E. Hanson, Jeffrey O. Kephart, Gerald Tesauro
Agent-Human Interactions in the Continuous Double Auction. IJCAI (2001)
Christopher H. Brooks, Edmund H. Durfee, Rajarshi Das
Price wars and niche discovery in an information economy. EC (2000)
Prithviraj Dasgupta, Rajarshi Das
Dynamic Service Pricing for Brokers in a Multi-Agent Economy. ICMAS (2000)
Prithviraj Dasgupta, Rajarshi Das
Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy. CoopIS (2000)
Jeffrey O. Kephart, Rajarshi Das, Jeffrey K. MacKie-Mason
Two-Sided Learning in an Agent Economy for Information Bundles. Agent Mediated Electronic Commerce (IJCAI Workshop) (1999)
Christopher H. Brooks, Scott A. Fay, Rajarshi Das, Jeffrey K. MacKie-Mason, Jeffrey O. Kephart, Edmund H. Durfee
Automated strategy searches in an electronic goods market: learning and complex price schedules. EC (1999)
Rajarshi Das, James P. Crutchfield, Melanie Mitchell, James E. Hanson
Evolving Globally Synchronized Cellular Automata. ICGA (1995)
Rajarshi Das, Melanie Mitchell, James P. Crutchfield
A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata. PPSN (1994)
Rajarshi Das, Sreerupa Das
Catching a Baseball: A Reinforcement Learning Perspective Using a Neural Network. AAAI (1994)
L. Darrell Whitley, Rajarshi Das, Curtis Crabb
Tracking Primary Hyperplane Competitors During Genetic Search. Ann. Math. Artif. Intell. 6 (4) (1992)
L. Darrell Whitley, Stephen Dominic, Rajarshi Das
Genetic Reinforcement Learning with Multilayer Neural Networks. ICGA (1991)
Rajarshi Das, L. Darrell Whitley
The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 Hyperplanes. ICGA (1991)
J. David Schaffer, Rich Caruana, Larry J. Eshelman, Rajarshi Das
A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization. ICGA (1989)