Dinesh Garg

According to our database, Dinesh Garg authored at least 58 papers between 2003 and 2024.

Collaborative distances:

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

2024

Read between the lines - Functionality Extraction From READMEs.

Prince Kumar, Srikanth Tamilselvam, Dinesh Garg

CoRR, 2024

2023

Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems.

Aniruddha Deb, Neeva Oza, Sarthak Singla, Dinesh Khandelwal, Dinesh Garg, Parag Singla

CoRR, 2023

Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach.

Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg

CoRR, 2023

Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach.

Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Dinesh Garg, Parag Singla

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases.

Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam

CoRR, 2022

Towards a Semantic Information Theory (Introducing Quantum Corollas).

Philip Tetlow, Dinesh Garg, Leigh Chase, Mark Mattingley-Scott, Nicholas Bronn, Kugendran Naidoo, Emil Reinert

CoRR, 2022

Zero-shot Entity Linking with Less Data.

G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Saswati Dana, Dinesh Garg, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray, L. Venkata Subramaniam

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

First Workshop on Content Understanding and Generation for E-commerce.

Sumit Negi, Manisha Verma, Rajdeep H. Banerjee, Pooja A, Lydia B. Chilton, Mithun Das Gupta, Vinay P. Namboodiri, Dinesh Garg

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Deep Neural Approach to KGQA via SPARQL Silhouette Generation.

Sukannya Purkayastha, Saswati Dana, Dinesh Garg, Dinesh Khandelwal, G. P. Shrivatsa Bhargav

Proceedings of the International Joint Conference on Neural Networks, 2022

SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases.

Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam

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

2021

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases.

Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam

CoRR, 2021

Knowledge Graph Question Answering via SPARQL Silhouette Generation.

Sukannya Purkayastha, Saswati Dana, Dinesh Garg, Dinesh Khandelwal, G. P. Shrivatsa Bhargav

CoRR, 2021

Semantic Answer Type Prediction.

G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Dinesh Garg, Saswati Dana

Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

Deep Domain Adaptation under Label Scarcity.

Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering.

Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Explanations for CommonsenseQA: New Dataset and Models.

Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla, Dinesh Garg

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.

Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu

CoRR, 2020

Inductive Quantum Embedding.

Santosh K. Srivastava, Dinesh Khandelwal, Dhiraj Madan, Dinesh Garg, Hima Karanam, L. Venkata Subramaniam

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Span Selection Pre-training for Question Answering.

Michael R. Glass, Alfio Gliozzo, Rishav Chakravarti, Anthony Ferritto, Lin Pan, G. P. Shrivatsa Bhargav, Dinesh Garg, Avirup Sil

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

The TechQA Dataset.

Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, J. Scott McCarley, Mike McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John F. Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avirup Sil, Rosario Uceda-Sosa, Todd Ward, Rong Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Translucent Answer Predictions in Multi-Hop Reading Comprehension.

G. P. Shrivatsa Bhargav, Michael R. Glass, Dinesh Garg, Shirish K. Shevade, Saswati Dana, Dinesh Khandelwal, L. Venkata Subramaniam, Alfio Gliozzo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improved linear embeddings via Lagrange duality.

Kshiteej Sheth, Dinesh Garg, Anirban Dasgupta

Mach. Learn., 2019

Prediction of the disease controllability in a complex network using machine learning algorithms.

Richa Tripathi, Amit Reza, Dinesh Garg

CoRR, 2019

Quantum Embedding of Knowledge for Reasoning.

Dinesh Garg, Shajith Ikbal, Santosh K. Srivastava, Harit Vishwakarma, Hima P. Karanam, L. Venkata Subramaniam

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep Domain Adaptation under Deep Label Scarcity.

Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar

CoRR, 2018

2017

A Sparse Nonlinear Classifier Design Using AUC Optimization.

Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Manipulating Gale-Shapley Algorithm: Preserving Stability and Remaining Inconspicuous.

Rohit Vaish, Dinesh Garg

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Latent Space Embedding for Retrieval in Question-Answer Archives.

Deepak P, Dinesh Garg, Shirish K. Shevade

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Fast rumor source identification via random walks.

Alankar Jain, Vivek S. Borkar, Dinesh Garg

Soc. Netw. Anal. Min., 2016

A Robust UCB scheme for active learning in regression from strategic crowds.

Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Edge conductance estimation using MCMC.

Ashish Bora, Vivek S. Borkar, Dinesh Garg, Rajesh Sundaresan

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Truthful Interval Cover Mechanisms for Crowdsourcing Applications.

Pankaj Dayama, Balakrishnan Narayanaswamy, Dinesh Garg, Y. Narahari

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

An Improved Block Coordinate Descent Method for Quadratic Programming in High Dimensions.

Gugan Thoppe, Vivek S. Borkar, Dinesh Garg

CoRR, 2014

Submodularity in Team Formation Problem.

Avradeep Bhowmik, Vivek S. Borkar, Dinesh Garg, Madhavan Pallan

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Discovering signature of social networks with application to community detection.

Ramasuri Narayanam, Dinesh Garg, Hemank Lamba

Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

Learning to Propagate Rare Labels.

Rakesh Pimplikar, Dinesh Garg, Deepesh Bharani, Gyana R. Parija

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2012

Mechanism Design for Time Critical and Cost Critical Task Execution via Crowdsourcing.

Swaprava Nath, Pankaj Dayama, Dinesh Garg, Yadati Narahari, James Y. Zou

Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators.

Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks Over Networks.

Swaprava Nath, Pankaj Dayama, Dinesh Garg, Y. Narahari, James Y. Zou

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Adaptive policies for selecting groupon style chunked reward ads in a stochastic knapsack framework.

Michael Grabchak, Narayan L. Bhamidipati, Rushi Bhatt, Dinesh Garg

Proceedings of the 20th International Conference on World Wide Web, 2011

A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection.

Dinesh Garg, Sundararajan Sellamanickam, Shirish K. Shevade

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2009

Game Theoretic Problems in Network Economics and Mechanism Design Solutions.

Y. Narahari, Dinesh Garg, Ramasuri Narayanam, V. Hastagiri Prakash

Advanced Information and Knowledge Processing, Springer, ISBN: 978-1-84800-938-7, 2009

An Optimal Mechanism for Sponsored Search Auctions on the Web and Comparison With Other Mechanisms.

Dinesh Garg, Y. Narahari

IEEE Trans Autom. Sci. Eng., 2009

Nash Bargaining Based Ad Networks for Sponsored Search Auctions.

Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Y. Narahari

Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

CAESAR: A Context-Aware, Social Recommender System for Low-End Mobile Devices.

Lakshmish Ramaswamy, P. Deepak, Ramana Polavarapu, Kutila Gunasekera, Dinesh Garg, Karthik Visweswariah, Shivkumar Kalyanaraman

Proceedings of the MDM 2009, 2009

2008

Mechanism Design for Single Leader Stackelberg Problems and Application to Procurement Auction Design.

Dinesh Garg, Y. Narahari

IEEE Trans Autom. Sci. Eng., 2008

A Nash bargaining approach to retention enhancing bid optimization in sponsored search auctions with discrete bids.

Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Yadati Narahari

Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008

Mining Top Issues from Contact Center Logs for Self Help Portals.

Dinesh Garg, Nanda Kambhatla, Maja Vukovic, Gopal Pingali

Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

Auction Based Models for Ticket Allocation Problem in IT Service Delivery Industry.

Prasad M. Deshpande, Dinesh Garg, Ramasuri Narayanam

Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007

A primal-dual algorithm for computing Fisher equilibrium in the absence of gross substitutability property.

Dinesh Garg, Kamal Jain, Kunal Talwar, Vijay V. Vazirani

Theor. Comput. Sci., 2007

Design of an Optimal Auction for Sponsored Search Auction.

Dinesh Garg, Y. Narahari, Siva Sankar Reddy

Proceedings of the 9th IEEE International Conference on E-Commerce Technology (CEC 2007) / 4th IEEE International Conference on Enterprise Computing, 2007

Efficient Internet Chat Services for Help Desk Agents.

Zon-Yin Shae, Dinesh Garg, Rajarshi Bhose, Ritabrata Mukherjee, Sinem Güven

Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007

2006

Achieving sharp deliveries in supply chains through variance pool allocation.

Dinesh Garg, Y. Narahari, Nukala Viswanadham

Eur. J. Oper. Res., 2006

2005

Price of Anarchy of Network Routing Games with Incomplete Information.

Dinesh Garg, Yadati Narahari

Proceedings of the Internet and Network Economics, First International Workshop, 2005

Design of Incentive Compatible Mechanisms for Stackelberg Problems.

Dinesh Garg, Yadati Narahari

Proceedings of the Internet and Network Economics, First International Workshop, 2005

A Groves Mechanism Approach to Decentralized Design of Supply Chains.

Dinesh Garg, Yadati Narahari, Earnest Foster, Devadatta M. Kulkarni, Jeffrey D. Tew

Proceedings of the 7th IEEE International Conference on E-Commerce Technology (CEC 2005), 2005

2004

Design of six sigma supply chains.

Dinesh Garg, Yadati Narahari, Nukala Viswanadham

IEEE Trans Autom. Sci. Eng., 2004

2003

A new approach to achieving sharp and timely deliveries in supply chain networks.

Dinesh Garg, Yadati Narahari, Nukala Viswanadham

Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003