Rajarshi Das
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
19
Active years
1994–2025
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Searching for Optimal Solutions with LLMs via Bayesian Optimization. | Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah |
| 2025 | NAACL | Constrained Decoding with Speculative Lookaheads. | Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi Das, Suthee Chaidaroon, Leonid Boytsov, Rashmi Gangadharaiah |
| 2024 | NAACL | Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. | Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2022 | ACL | Calibration of Machine Reading Systems at Scale. | Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan |
| 2022 | ICML | 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 |
| 2022 | NAACL | 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 |
| 2021 | ACL | 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 |
| 2021 | EMNLP | 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 |
| 2020 | EMNLP | ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. | Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum |
| 2020 | EMNLP | Probabilistic Case-based Reasoning in Knowledge Bases. | Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum |
| 2020 | EMNLP | 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 |
| 2019 | ACL | Optimal Transport-based Alignment of Learned Character Representations for String Similarity. | Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum |
| 2019 | ICLR | Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. | Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum |
| 2019 | ICLR | Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. | Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum |
| 2018 | ACL | 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 |
| 2018 | EMNLP | 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 |
| 2018 | ICLR | 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 |
| 2017 | ACL | Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. | Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum |
| 2017 | EACL | Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. | Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum |
| 2015 | ACL | Gaussian LDA for Topic Models with Word Embeddings. | Rajarshi Das, Manzil Zaheer, Chris Dyer |
| 2015 | HealthCom | A framework for analyzing publicly available healthcare data. | A. Ravishankar Rao, Atul Chhabra, Rajarshi Das, Vikash Ruhil |
| 2015 | Middleware | Dynamic reconfiguration of IO adapters for real-time outage prevention. | Rajarshi Das, Vishal Mansur, Nikhil Hegde, Omar Cardona |
| 2013 | ISCA | 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 |
| 2013 | ICSOC | Decision Making in Enterprise Crowdsourcing Services. | Maja Vukovic, Rajarshi Das |
| 2012 | ISSRE | Assessing Product Quality through PMR Analysis: A Perspective. | Rajarshi Das |
| 2011 | CNSM | A unified approach to coordinated energy-management in data centers. | Rajarshi Das, Srinivas Yarlanki, Hendrik F. Hamann, Jeffrey O. Kephart, Vanessa Lpez |
| 2010 | RecSys | Social navigation for the spoken web. | Robert G. Farrell, Nitendra Rajput, Rajarshi Das, Catalina M. Danis, Ketki A. Dhanesha |
| 2009 | IJCAI | Expressive Power-Based Resource Allocation for Data Centers. | Benjamin Lubin, Jeffrey O. Kephart, Rajarshi Das, David C. Parkes |
| 2009 | SIGMETRICS | Optimal power allocation in server farms. | Anshul Gandhi, Mor Harchol-Balter, Rajarshi Das, Charles Lefurgy |
| 2005 | AAAI | New Approaches to Optimization and Utility Elicitation in Autonomic Computing. | Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh |
| 2003 | IJCAI | Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems. | Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, William E. Walsh |
| 2003 | UAI | Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. | Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh |
| 2001 | IJCAI | Agent-Human Interactions in the Continuous Double Auction. | Rajarshi Das, James E. Hanson, Jeffrey O. Kephart, Gerald Tesauro |
| 2000 | CoopIS | Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy. | Prithviraj Dasgupta, Rajarshi Das |
| 1999 | IJCAI | Two-Sided Learning in an Agent Economy for Information Bundles. | Jeffrey O. Kephart, Rajarshi Das, Jeffrey K. MacKie-Mason |
| 1994 | AAAI | Catching a Baseball: A Reinforcement Learning Perspective Using a Neural Network. | Rajarshi Das, Sreerupa Das |
| 1994 | PPSN | A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata. | Rajarshi Das, Melanie Mitchell, James P. Crutchfield |