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2020 – today
- 2024
- [c68]Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah:
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. NAACL-HLT (Findings) 2024: 896-919 - 2023
- [c67]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: 9802-9822 - [c66]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: 8414-8428 - [i24]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 abs/2305.14815 (2023) - [i23]Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah:
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. CoRR abs/2311.07850 (2023) - 2022
- [c65]Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan:
Calibration of Machine Reading Systems at Scale. ACL (Findings) 2022: 1682-1693 - [c64]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: 4777-4793 - [c63]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: 1234-1249 - [i22]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 abs/2202.10610 (2022) - [i21]Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan:
Calibration of Machine Reading Systems at Scale. CoRR abs/2203.10623 (2022) - [i20]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 abs/2204.08554 (2022) - [i19]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 abs/2212.10511 (2022) - 2021
- [c62]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: 71-80 - [c61]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: 9594-9611 - [i18]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 abs/2103.00751 (2021) - [i17]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 abs/2104.08762 (2021) - [i16]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 abs/2110.08520 (2021) - 2020
- [c60]Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum:
A Simple Approach to Case-Based Reasoning in Knowledge Bases. AKBC 2020 - [c59]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: 1122-1136 - [c58]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: 3010-3017 - [c57]Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum:
Probabilistic Case-based Reasoning in Knowledge Bases. EMNLP (Findings) 2020: 4752-4765 - [i15]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 abs/2005.00771 (2020) - [i14]Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum:
A Simple Approach to Case-Based Reasoning in Knowledge Bases. CoRR abs/2006.14198 (2020) - [i13]Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum:
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion. CoRR abs/2010.03548 (2020)
2010 – 2019
- 2019
- [c56]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: 5907-5917 - [c55]Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP 2019: 91-97 - [c54]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: 113-118 - [c53]Aishwarya Kamath, Rajarshi Das:
A Survey on Semantic Parsing. AKBC 2019 - [c52]Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum:
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. ICLR (Poster) 2019 - [c51]Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum:
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) 2019 - [c50]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: 101-117 - [i12]Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum:
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. CoRR abs/1905.05733 (2019) - [i11]Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum:
Optimal Transport-based Alignment of Learned Character Representations for String Similarity. CoRR abs/1907.10165 (2019) - [i10]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 abs/1909.07598 (2019) - [i9]Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? CoRR abs/1910.14520 (2019) - 2018
- [c49]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: 60-70 - [c48]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei
An Interface for Annotating Science Questions. EMNLP (Demonstration) 2018: 102-107 - [c47]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 - [i8]Martin Raison, Pierre-Emmanuel Mazaré, Rajarshi Das, Antoine Bordes:
Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading. CoRR abs/1804.10490 (2018) - [i7]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 abs/1806.00358 (2018) - [i6]Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum:
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. CoRR abs/1810.05682 (2018) - [i5]Aishwarya Kamath, Rajarshi Das:
A Survey on Semantic Parsing. CoRR abs/1812.00978 (2018) - 2017
- [c46]Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum:
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. ACL (2) 2017: 358-365 - [c45]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 - [c44]Aaron Traylor, Nicholas Monath, Rajarshi Das, Andrew McCallum:
Learning String Alignments for Entity Aliases. AKBC@NIPS 2017 - [c43]Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum:
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. EACL (1) 2017: 132-141 - [i4]Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum:
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. CoRR abs/1704.08384 (2017) - [i3]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 abs/1711.05851 (2017) - 2016
- [c42]Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum:
Incorporating Selectional Preferences in Multi-hop Relation Extraction. AKBC@NAACL-HLT 2016: 18-23 - [i2]Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum:
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. CoRR abs/1607.01426 (2016) - 2015
- [c41]Rajarshi Das, Manzil Zaheer, Chris Dyer:
Gaussian LDA for Topic Models with Word Embeddings. ACL (1) 2015: 795-804 - [c40]A. Ravishankar Rao, Atul Chhabra, Rajarshi Das, Vikash Ruhil:
A framework for analyzing publicly available healthcare data. HealthCom 2015: 653-656 - [c39]Rajarshi Das, Vishal Mansur, Nikhil Hegde, Omar Cardona:
Dynamic reconfiguration of IO adapters for real-time outage prevention. Middleware Posters and Demos 2015: 5:1-5:2 - 2013
- [j6]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): 11-25 (2013) - [c38]Maja Vukovic, Rajarshi Das:
Decision Making in Enterprise Crowdsourcing Services. ICSOC 2013: 624-638 - [c37]Canturk Isci, Suzanne McIntosh
Agile, efficient virtualization power management with low-latency server power states. ISCA 2013: 96-107 - 2012
- [c36]Rajarshi Das:
Assessing Product Quality through PMR Analysis: A Perspective. ISSRE Workshops 2012: 106-115 - [i1]Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh:
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. CoRR abs/1212.2443 (2012) - 2011
- [c35]Rajarshi Das, Srinivas Yarlanki, Hendrik F. Hamann, Jeffrey O. Kephart, Vanessa López:
A unified approach to coordinated energy-management in data centers. CNSM 2011: 1-5 - 2010
- [c34]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 - [c33]Rajarshi Das, Jeffrey O. Kephart, Jonathan Lenchner, Hendrik F. Hamann:
Utility-function-driven energy-efficient cooling in data centers. ICAC 2010: 61-70 - [c32]Robert G. Farrell, Nitendra Rajput, Rajarshi Das, Catalina M. Danis, Ketki A. Dhanesha:
Social navigation for the spoken web. RecSys 2010: 333-336
2000 – 2009
- 2009
- [c31]Benjamin Lubin, Jeffrey O. Kephart, Rajarshi Das, David C. Parkes:
Expressive Power-Based Resource Allocation for Data Centers. IJCAI 2009: 1451-1456 - [c30]Anshul Gandhi, Mor Harchol-Balter
Optimal power allocation in server farms. SIGMETRICS/Performance 2009: 157-168 - 2008
- [c29]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: 107-114 - 2007
- [j5]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): 287-299 (2007) - [j4]Jeffrey O. Kephart, Rajarshi Das:
Achieving Self-Management via Utility Functions. IEEE Internet Comput. 11(1): 40-48 (2007) - [c28]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: 24 - [c27]Gerald Tesauro, Rajarshi Das, Hoi Y. Chan, Jeffrey O. Kephart, David W. Levine, Freeman L. Rawson III, Charles Lefurgy:
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning. NIPS 2007: 1497-1504 - [c26]Sudhir Aggarwal, Daniel Beech, Rajarshi Das, Breno de Medeiros, Eric Thompson:
X-Online: An Online Interface for Digital Decryption Tools. SADFE 2007: 105-116 - 2006
- [j3]Ian Whalley, Asser N. Tantawi
Experience with collaborating managers: node group manager and provisioning manager. Clust. Comput. 9(4): 401-416 (2006) - [c25]Rajarshi Das, Ian Whalley, Jeffrey O. Kephart:
Utility-based collaboration among autonomous agents for resource allocation in data centers. AAMAS 2006: 1572-1579 - [c24]Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani:
Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. ECML 2006: 783-791 - [c23]Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani:
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. ICAC 2006: 65-73 - [c22]Rajarshi Das, Jeffrey O. Kephart, Ian Whalley, Paul Vytas:
Towards Commercialization of Utility-based Resource Allocation. ICAC 2006: 287-290 - 2005
- [c21]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: 140-145 - [c20]Gerald Tesauro, Rajarshi Das, William E. Walsh, Jeffrey O. Kephart:
Utility-Function-Driven Resource Allocation in Autonomic Systems. ICAC 2005: 342-343 - 2004
- [c19]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: 464-471 - [c18]William E. Walsh, Gerald Tesauro, Jeffrey O. Kephart, Rajarshi Das:
Utility Functions in Autonomic Systems. ICAC 2004: 70-77 - 2003
- [c17]William E. Walsh, David C. Parkes, Rajarshi Das:
Choosing Samples to Compute Heuristic-Strategy Nash Equilibrium. AMEC 2003: 109-123 - [c16]Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, William E. Walsh:
Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems. IJCAI 2003: 1458-1459 - [c15]Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh:
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. UAI 2003: 89-97 - 2002
- [j2]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): 566-582 (2002) - 2001
- [c14]Rajarshi Das, James E. Hanson, Jeffrey O. Kephart, Gerald Tesauro:
Agent-Human Interactions in the Continuous Double Auction. IJCAI 2001: 1169-1187 - [c13]Jeffrey O. Kephart, Christopher H. Brooks, Rajarshi Das:
Pricing information bundles in a dynamic environment. EC 2001: 180-190 - [c12]Gerald Tesauro, Rajarshi Das:
High-performance bidding agents for the continuous double auction. EC 2001: 206-209 - 2000
- [c11]Prithviraj Dasgupta
Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy. CoopIS 2000: 299-310 - [c10]Prithviraj Dasgupta
Dynamic Service Pricing for Brokers in a Multi-Agent Economy. ICMAS 2000: 375-376 - [c9]Christopher H. Brooks, Edmund H. Durfee, Rajarshi Das:
Price wars and niche discovery in an information economy. EC 2000: 95-106
1990 – 1999
- 1999
- [c8]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: 180-205 - [c7]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: 31-40 - 1995
- [c6]Rajarshi Das, James P. Crutchfield, Melanie Mitchell, James E. Hanson:
Evolving Globally Synchronized Cellular Automata. ICGA 1995: 336-343 - 1994
- [c5]Rajarshi Das, Sreerupa Das:
Catching a Baseball: A Reinforcement Learning Perspective Using a Neural Network. AAAI 1994: 688-693 - [c4]Rajarshi Das, Melanie Mitchell, James P. Crutchfield:
A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata. PPSN 1994: 344-353 - 1992
- [j1]L. Darrell Whitley, Rajarshi Das, Curtis Crabb:
Tracking Primary Hyperplane Competitors During Genetic Search. Ann. Math. Artif. Intell. 6(4): 367-388 (1992) - 1991
- [c3]Rajarshi Das, L. Darrell Whitley:
The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 Hyperplanes. ICGA 1991: 166-173 - [c2]L. Darrell Whitley, Stephen Dominic, Rajarshi Das:
Genetic Reinforcement Learning with Multilayer Neural Networks. ICGA 1991: 562-569
1980 – 1989
- 1989
- [c1]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: 51-60
Coauthor Index
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