Mayank Agarwal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
19
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | How Good Are LLMs at Processing Tool Outputs? | Kiran Kate, Yara Rizk, Poulami Ghosh, Ashu Gulati, Tathagata Chakraborti, Zidane Wright, Mayank Agarwal |
| 2025 | EMNLP | NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. | Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, Mayank Agarwal, Maxwell Crouse, Yara Rizk, Kelsey Bradford, Asim Munawar, Sadhana Kumaravel, Saurabh Goyal, Xin Wang, Luis A. Lastras, Pavan Kapanipathi |
| 2025 | ICISS | SANVector: SBERT-APTNet Vector Framework for Cyber Threat Attack Attribution Using Diversified CTI Logs. | Sougata Dolai, Annu Kumari, Mayank Agarwal |
| 2024 | EMNLP | Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. | Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi |
| 2024 | EMNLP | Aligners: Decoupling LLMs and Alignment. | Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin |
| 2024 | ICLR | An Investigation of Representation and Allocation Harms in Contrastive Learning. | Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun |
| 2024 | ICLR | Aligners: Decoupling LLMs and Alignment. | Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin |
| 2023 | CHI | Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. | Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin |
| 2023 | EMNLP | Explain-then-translate: an analysis on improving program translation with self-generated explanations. | Zilu Tang, Mayank Agarwal, Alexander Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim |
| 2023 | ICASSP | Dialogue System with Missing Observation. | Djallel Bouneffouf, Mayank Agarwal, Irina Rish |
| 2023 | SIN | Preserving Service Availability Under DDoS Attack in Micro-Service Based Cloud Infrastructure. | Anmol Kumar, Mayank Agarwal |
| 2022 | IUI | Opportunies for Generative AI in UX Modernization 81-91. | Stephanie Houde, Steven I. Ross, Michael J. Muller, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz |
| 2022 | IUI | Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122. | Michael J. Muller, Steven I. Ross, Stephanie Houde, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz |
| 2022 | IUI | Investigating Explainability of Generative AI for Code through Scenario-based Design. | Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz |
| 2022 | IUI | Better Together? An Evaluation of AI-Supported Code Translation. | Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards |
| 2021 | ICASSP | Toward Skills Dialog Orchestration with Online Learning. | Djallel Bouneffouf, Raphal Fraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish |
| 2021 | IUI | How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. | Michael J. Muller, April Yi Wang, Steven I. Ross, Justin D. Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, John T. Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski, Dakuo Wang |
| 2021 | IUI | Perfection Not Required? Human-AI Partnerships in Code Translation. | Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula |
| 2020 | AAAI | TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets. | Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni |
| 2019 | AAAI | CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. | Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu |
| 2019 | ICML | Bayesian Nonparametric Federated Learning of Neural Networks. | Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni |
| 2019 | SMC | Rogue Twin Attack Detection: A Discrete Event System Paradigm Approach. | Mayank Agarwal |
| 2018 | BMVC | 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. | Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, Venkatesh Babu Radhakrishnan |
| 2018 | SEC | Anti-forensic = Suspicious: Detection of Stealthy Malware that Hides Its Network Traffic. | Mayank Agarwal, Rami Puzis, Jawad Haj-Yahya, Polina Zilberman, Yuval Elovici |
| 2015 | SMC | Detection of De-Authentication DoS Attacks in Wi-Fi Networks: A Machine Learning Approach. | Mayank Agarwal, Santosh Biswas, Sukumar Nandi |
| 2011 | CBMI | Content-based image retrieval for Alzheimer's disease detection. | Mayank Agarwal, Javed Mostafa |
| 2009 | ICSE | SPARTAN: A software tool for Parallelization Bottleneck Analysis. | Mayank Agarwal, Matthew I. Frank |
| 2009 | MICCAI | Image Retrieval for Alzheimer's Disease Detection. | Mayank Agarwal, Javed Mostafa |
| 2008 | HPCA | PaCo: Probability-based path confidence prediction. | Kshitiz Malik, Mayank Agarwal, Vikram Dhar, Matthew I. Frank |
| 2008 | HPCA | Branch-mispredict level parallelism (BLP) for control independence. | Kshitiz Malik, Mayank Agarwal, Sam S. Stone, Kevin M. Woley, Matthew I. Frank |
| 2008 | ISCA | Fetch-Criticality Reduction through Control Independence. | Mayank Agarwal, Nitin Navale, Kshitiz Malik, Matthew I. Frank |
| 2007 | HPCA | Exploiting Postdominance for Speculative Parallelization. | Mayank Agarwal, Kshitiz Malik, Kevin M. Woley, Sam S. Stone, Matthew I. Frank |
| 2005 | FPGA | SMPS: an FPGA-based prototyping environment for multiprocessor embedded systems (abstract only). | Ankit Mathur, Mayank Agarwal, Soumyadeb Mitra, Anup Gangwar, M. Balakrishnan, Subhashis Banerjee |