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2020 – today
- 2024
[c9]Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Tushar Nagarajan, Matt Smith, Shashank Jain, Chun-Fu Yeh, Prakash Murugesan, Peyman Heidari, Yue Liu, Kavya Srinet, Babak Damavandi, Anuj Kumar:
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. EMNLP (Industry Track) 2024: 1314-1332- 2023
- [c8]Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. ACL (2) 2023: 1617-1626 - [i6]Zhuangqun Huang, Gil Keren, Ziran Jiang, Shashank Jain, David Goss-Grubbs, Nelson Cheng, Farnaz Abtahi, Duc Le, David Zhang, Antony D'Avirro, Ethan Campbell-Taylor, Jessie Salas, Irina-Elena Veliche, Xi Chen:
Text Generation with Speech Synthesis for ASR Data Augmentation. CoRR abs/2305.16333 (2023) - [i5]Xiao Yang, Ahmed K. Mohamed, Shashank Jain, Stanislav Peshterliev, Debojeet Chatterjee, Hanwen Zha, Nikita Bhalla, Gagan Aneja, Pranab Mohanty:
Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite. CoRR abs/2306.07499 (2023) - [i4]Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Tushar Nagarajan, Matt Smith, Shashank Jain, Chun-Fu Yeh, Prakash Murugesan, Peyman Heidari, Yue Liu, Kavya Srinet, Babak Damavandi, Anuj Kumar:
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. CoRR abs/2309.16058 (2023) - 2022
- [i3]Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. CoRR abs/2210.01371 (2022) - 2021
- [j1]Sapna Juneja, Abhinav Juneja
, Gaurav Dhiman, Shashank Jain, Anu Dhankhar, Sandeep Kautish:
Computer Vision-Enabled Character Recognition of Hand Gestures for Patients with Hearing and Speaking Disability. Mob. Inf. Syst. 2021: 4912486:1-4912486:10 (2021) - [c7]Mayank Tiwary, Pritish Mishra, Shashank Jain, Kshira Sagar Sahoo:
AutoDBaaS: Autonomous Database as a Service for managing relational database services. EDBT 2021: 600-610 - [c6]Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White:
Building Adaptive Acceptability Classifiers for Neural NLG. EMNLP (1) 2021: 682-697 - [c5]Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White:
Getting to Production with Few-shot Natural Language Generation Models. SIGDIAL 2021: 66-76 - 2020
- [c4]Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White:
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. COLING (Industry) 2020: 64-77 - [c3]Mayank Tiwary, Pritish Mishra, Shashank Jain, Deepak Puthal:
Data Aware Web-Assembly Function Placement. WWW (Companion Volume) 2020: 4-5 - [i2]Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White:
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. CoRR abs/2011.03877 (2020) - [i1]Shreyas Sheshadri, Harsh Maheshwari, Avijit Saha, Samik Datta, Shashank Jain, Disha Makhija, Anuj Nagpal, Sneha Shukla, Suyash S:
Audience Creation for Consumables - Simple and Scalable Precision Merchandising for a Growing Marketplace. CoRR abs/2011.08575 (2020)
2010 – 2019
- 2017
- [c2]Shashank Jain, Vivek Tiwari, Aruna Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty:
PrIA: A Private Intelligent Assistant. HotMobile 2017: 91-96 - 2014
- [c1]Amy Knoblock-Hahn, Cynthia LeRouge, Kathryn Dickhut, Shashank Jain, Toree Malasanos:
Barriers and Benefits to CHT Use in Overweight and Obese Adolescents. AMIA 2014
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