Dinesh Garg
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
18
Active years
2002–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | LLMs are Brittle to Simple Code Transformations: Introducing CETBench - A Benchmark for Code-Equivalence Checking. | Neeva Oza, Ishaan Govil, Parul Gupta, Dinesh Khandelwal, Dinesh Garg, Parag Singla |
| 2025 | COLING | Transforming Code Understanding: Clustering-Based Retrieval for Improved Summarization in Domain-Specific Languages. | Baban Gain, Dibyanayan Bandyopadhyay, Samrat Mukherjee, Aryan Sahoo, Saswati Dana, Palanivel A. Kodeswaran, Sayandeep Sen, Asif Ekbal, Dinesh Garg |
| 2024 | NAACL | Read between the lines - Functionality Extraction From READMEs. | Prince Kumar, Srikanth Tamilselvam, Dinesh Garg |
| 2023 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | IJCNN | A Deep Neural Approach to KGQA via SPARQL Silhouette Generation. | Sukannya Purkayastha, Saswati Dana, Dinesh Garg, Dinesh Khandelwal, G. P. Shrivatsa Bhargav |
| 2022 | KDD | 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 |
| 2022 | NAACL | 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 |
| 2021 | ACL | Explanations for CommonsenseQA: New Dataset and Models. | Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla, Dinesh Garg |
| 2021 | ACL | Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. | Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramn 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 |
| 2021 | COMAD | Deep Domain Adaptation under Label Scarcity. | Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar |
| 2020 | AAAI | 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 |
| 2020 | ACL | 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 |
| 2020 | ACL | 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 |
| 2017 | EMNLP | Latent Space Embedding for Retrieval in Question-Answer Archives. | Deepak P, Dinesh Garg, Shirish K. Shevade |
| 2017 | IJCAI | Manipulating Gale-Shapley Algorithm: Preserving Stability and Remaining Inconspicuous. | Rohit Vaish, Dinesh Garg |
| 2017 | SDM | A Sparse Nonlinear Classifier Design Using AUC Optimization. | Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg |
| 2016 | IJCNN | A Robust UCB scheme for active learning in regression from strategic crowds. | Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari |
| 2014 | CIKM | Learning to Propagate Rare Labels. | Rakesh Pimplikar, Dinesh Garg, Deepesh Bharani, Gyana R. Parija |
| 2014 | COMSNETS | Discovering signature of social networks with application to community detection. | Ramasuri Narayanam, Dinesh Garg, Hemank Lamba |
| 2014 | SDM | Submodularity in Team Formation Problem. | Avradeep Bhowmik, Vivek S. Borkar, Dinesh Garg, Madhavan Pallan |
| 2012 | AAAI | Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks Over Networks. | Swaprava Nath, Pankaj Dayama, Dinesh Garg, Y. Narahari, James Y. Zou |
| 2012 | UAI | Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. | Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade |
| 2011 | PAKDD | A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection. | Dinesh Garg, Sundararajan Sellamanickam, Shirish K. Shevade |
| 2011 | WWW | Adaptive policies for selecting groupon style chunked reward ads in a stochastic knapsack framework. | Michael Grabchak, Narayan L. Bhamidipati, Rushi Bhatt, Dinesh Garg |
| 2009 | MDM | 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 |
| 2003 | ICRA | Design of six sigma supply chains. | Dinesh Garg, Yadati Narahari, Nukala Viswanadham |
| 2003 | IROS | A new approach to achieving sharp and timely deliveries in supply chain networks. | Dinesh Garg, Yadati Narahari, Nukala Viswanadham |
| 2002 | ICRA | Achieving Sharp Deliveries in Supply Chains through Variance Pool Allocation. | Dinesh Garg, Yadati Narahari, Nukala Viswanadham |