A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization. - J. David Schaffer; Rich Caruana; Larry J. Eshelman; Rajarshi Das (ICGA, 1989)

The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 Hyperplanes. - Rajarshi Das; L. Darrell Whitley (ICGA, 1991)

Genetic Reinforcement Learning with Multilayer Neural Networks. - L. Darrell Whitley; Stephen Dominic; Rajarshi Das (ICGA, 1991)

Tracking Primary Hyperplane Competitors During Genetic Search. - L. Darrell Whitley; Rajarshi Das; Curtis Crabb (Ann. Math. Artif. Intell., 1992)

Catching a Baseball: A Reinforcement Learning Perspective Using a Neural Network. - Rajarshi Das; Sreerupa Das (AAAI, 1994)

A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata. - Rajarshi Das; Melanie Mitchell; James P. Crutchfield (PPSN, 1994)

Evolving Globally Synchronized Cellular Automata. - Rajarshi Das; James P. Crutchfield; Melanie Mitchell; James E. Hanson (ICGA, 1995)

Two-Sided Learning in an Agent Economy for Information Bundles. - Jeffrey O. Kephart; Rajarshi Das; Jeffrey K. MacKie-Mason (Agent Mediated Electronic Commerce (IJCAI Workshop), 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 (EC, 1999)

Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy. - Prithviraj Dasgupta; Rajarshi Das (CoopIS, 2000)

Dynamic Service Pricing for Brokers in a Multi-Agent Economy. - Prithviraj Dasgupta; Rajarshi Das (ICMAS, 2000)

Price wars and niche discovery in an information economy. - Christopher H. Brooks; Edmund H. Durfee; Rajarshi Das (EC, 2000)

Agent-Human Interactions in the Continuous Double Auction. - Rajarshi Das; James E. Hanson; Jeffrey O. Kephart; Gerald Tesauro (IJCAI, 2001)

Pricing information bundles in a dynamic environment. - Jeffrey O. Kephart; Christopher H. Brooks; Rajarshi Das (EC, 2001)

High-performance bidding agents for the continuous double auction. - Gerald Tesauro; Rajarshi Das (EC, 2001)

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)

Choosing Samples to Compute Heuristic-Strategy Nash Equilibrium. - William E. Walsh; David C. Parkes; Rajarshi Das (AMEC, 2003)

Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems. - Craig Boutilier; Rajarshi Das; Jeffrey O. Kephart; William E. Walsh (IJCAI, 2003)

Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. - Craig Boutilier; Rajarshi Das; Jeffrey O. Kephart; Gerald Tesauro; William E. Walsh (UAI, 2003)

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 (AAMAS, 2004)

Utility Functions in Autonomic Systems. - William E. Walsh; Gerald Tesauro; Jeffrey O. Kephart; Rajarshi Das (ICAC, 2004)

New Approaches to Optimization and Utility Elicitation in Autonomic Computing. - Relu Patrascu; Craig Boutilier; Rajarshi Das; Jeffrey O. Kephart; Gerald Tesauro; William E. Walsh (AAAI, 2005)

Utility-Function-Driven Resource Allocation in Autonomic Systems. - Gerald Tesauro; Rajarshi Das; William E. Walsh; Jeffrey O. Kephart (ICAC, 2005)

Utility-based collaboration among autonomous agents for resource allocation in data centers. - Rajarshi Das; Ian Whalley; Jeffrey O. Kephart (AAMAS, 2006)

Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. - Gerald Tesauro; Nicholas K. Jong; Rajarshi Das; Mohamed N. Bennani (ECML, 2006)

Towards Commercialization of Utility-based Resource Allocation. - Rajarshi Das; Jeffrey O. Kephart; Ian Whalley; Paul Vytas (ICAC, 2006)

A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. - Gerald Tesauro; Nicholas K. Jong; Rajarshi Das; Mohamed N. Bennani (ICAC, 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)

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 (ICAC, 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 (NIPS, 2007)

X-Online: An Online Interface for Digital Decryption Tools. - Sudhir Aggarwal; Daniel Beech; Rajarshi Das; Breno de Medeiros; Eric Thompson (SADFE, 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)

Achieving Self-Management via Utility Functions. - Jeffrey O. Kephart; Rajarshi Das (IEEE Internet Comput., 2007)

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 (AAMAS (Industry Track), 2008)

Expressive Power-Based Resource Allocation for Data Centers. - Benjamin Lubin; Jeffrey O. Kephart; Rajarshi Das; David C. Parkes (IJCAI, 2009)

Optimal power allocation in server farms. - Anshul Gandhi; Mor Harchol-Balter; Rajarshi Das; Charles Lefurgy (SIGMETRICS/Performance, 2009)

Social Navigation through the Spoken Web: Improving Audio Access through Collaborative Filtering in Gujarat, India. - Robert G. Farrell; Rajarshi Das; Nitendra Rajput (AAAI Spring Symposium: Artificial Intelligence for Development, 2010)

Utility-function-driven energy-efficient cooling in data centers. - Rajarshi Das; Jeffrey O. Kephart; Jonathan Lenchner; Hendrik F. Hamann (ICAC, 2010)

Social navigation for the spoken web. - Robert G. Farrell; Nitendra Rajput; Rajarshi Das; Catalina M. Danis; Ketki A. Dhanesha (RecSys, 2010)

A unified approach to coordinated energy-management in data centers. - Rajarshi Das; Srinivas Yarlanki; Hendrik F. Hamann; Jeffrey O. Kephart; Vanessa López (CNSM, 2011)

Assessing Product Quality through PMR Analysis: A Perspective. - Rajarshi Das (ISSRE Workshops, 2012)

Decision Making in Enterprise Crowdsourcing Services. - Maja Vukovic; Rajarshi Das (ICSOC, 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; et al. (ISCA, 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)

Gaussian LDA for Topic Models with Word Embeddings. - Rajarshi Das; Manzil Zaheer; Chris Dyer (ACL (1), 2015)

A framework for analyzing publicly available healthcare data. - A. Ravishankar Rao; Atul Chhabra; Rajarshi Das; Vikash Ruhil (HealthCom, 2015)

Dynamic reconfiguration of IO adapters for real-time outage prevention. - Rajarshi Das; Vishal Mansur; Nikhil Hegde; Omar Cardona (Middleware Posters and Demos, 2015)

Incorporating Selectional Preferences in Multi-hop Relation Extraction. - Rajarshi Das; Arvind Neelakantan; David Belanger 002; Andrew McCallum (AKBC@NAACL-HLT, 2016)

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. - Rajarshi Das; Manzil Zaheer; Siva Reddy; Andrew McCallum (ACL (2), 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 (AKBC@NIPS, 2017)

Learning String Alignments for Entity Aliases. - Aaron Traylor; Nicholas Monath; Rajarshi Das; Andrew McCallum (AKBC@NIPS, 2017)

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. - Rajarshi Das; Arvind Neelakantan; David Belanger 002; Andrew McCallum (EACL (1), 2017)

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 001; Achille Fokoue-Nkoutche; Pavan Kapanipathi; Nicholas Mattei; Ryan Musa; Kartik Talamadupula; et al. (QA@ACL, 2018)

An Interface for Annotating Science Questions. - Michael Boratko; Harshit Padigela; Divyendra Mikkilineni; Pritish Yuvraj; Rajarshi Das; Andrew McCallum; Maria Chang 001; Achille Fokoue; Pavan Kapanipathi; Nicholas Mattei; Ryan Musa; Kartik Talamadupula; et al. (EMNLP (Demonstration), 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 (ICLR (Poster), 2018)

Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading. - Martin Raison; Pierre-Emmanuel Mazaré; Rajarshi Das; Antoine Bordes (CoRR, 2018)

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 (MRQA@EMNLP, 2019)

Do Multi-hop Readers Dream of Reasoning Chains? - Haoyu Wang 002; Mo Yu; Xiaoxiao Guo; Rajarshi Das; Wenhan Xiong; Tian Gao (MRQA@EMNLP, 2019)

Optimal Transport-based Alignment of Learned Character Representations for String Similarity. - Derek Tam; Nicholas Monath; Ari Kobren; Aaron Traylor; Rajarshi Das; Andrew McCallum (ACL (1), 2019)

A Survey on Semantic Parsing. - Aishwarya Kamath; Rajarshi Das (AKBC, 2019)

Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. - Rajarshi Das; Shehzaad Dhuliawala; Manzil Zaheer; Andrew McCallum (ICLR (Poster), 2019)

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. - Rajarshi Das; Tsendsuren Munkhdalai; Xingdi Yuan; Adam Trischler; Andrew McCallum (ICLR (Poster), 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 (TextGraphs@EMNLP, 2019)

A Simple Approach to Case-Based Reasoning in Knowledge Bases. - Rajarshi Das; Ameya Godbole; Shehzaad Dhuliawala; Manzil Zaheer; Andrew McCallum (AKBC, 2020)

ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. - Michael Boratko; Xiang Li 069; Tim O'Gorman; Rajarshi Das; Dan Le; Andrew McCallum (EMNLP (1), 2020)

Probabilistic Case-based Reasoning in Knowledge Bases. - Rajarshi Das; Ameya Godbole; Nicholas Monath; Manzil Zaheer; Andrew McCallum (EMNLP (Findings), 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 (EMNLP (Findings), 2020)

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion. - Rajarshi Das; Ameya Godbole; Nicholas Monath; Manzil Zaheer; Andrew McCallum (CoRR, 2020)

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 (ACL (student), 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 (EMNLP (1), 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)

Calibration of Machine Reading Systems at Scale. - Shehzaad Dhuliawala; Leonard Adolphs; Rajarshi Das; Mrinmaya Sachan (ACL (Findings), 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 (ICML, 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 (NAACL-HLT, 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)

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)

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 (ACL (1), 2023)

Machine Reading Comprehension using Case-based Reasoning. - Dung Thai; Dhruv Agarwal 003; Mudit Chaudhary; Wenlong Zhao 001; Rajarshi Das; Jay-Yoon Lee; Hannaneh Hajishirzi; Manzil Zaheer; Andrew McCallum (EMNLP (Findings), 2023)

Resource Aware power modelling for compute-bound tasks on GPUs. - Rajarshi Das; Sachit Rao (HPCCT, 2024)

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. - Dhruv Agarwal 003; Rajarshi Das; Sopan Khosla; Rashmi Gangadharaiah (NAACL-HLT (Findings), 2024)

Searching for Optimal Solutions with LLMs via Bayesian Optimization. - Dhruv Agarwal 003; Manoj Ghuhan Arivazhagan; Rajarshi Das; Sandesh Swamy; Sopan Khosla; Rashmi Gangadharaiah (ICLR, 2025)

Constrained Decoding with Speculative Lookaheads. - Nishanth Sridhar Nakshatri; Shamik Roy; Rajarshi Das; Suthee Chaidaroon; Leonid Boytsov; Rashmi Gangadharaiah (NAACL (Long Papers), 2025)

Exploring Next Token Prediction in Theory of Mind (ToM) Tasks: Comparative Experiments with GPT-2 and LLaMA-2 AI Models. - Pavan Yadav; Nikhil Khandalkar; Krishna Shinde; Lokesh B. Ramegowda; Rajarshi Das (CoRR, 2025)

Impact of Noise on LLM-Models Performance in Abstraction and Reasoning Corpus (ARC) Tasks with Model Temperature Considerations. - Nikhil Khandalkar; Pavan Yadav; Krishna Shinde; Lokesh B. Ramegowda; Rajarshi Das (CoRR, 2025)