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ORCIDAryan Jain
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2020 – today
- 2026
[c11]Aryan Jain, Pushpendu Ghosh, Promod Yenigalla:
CASPER: Bridging Discrete and Continuous Prompt Optimization through Feedback-Guided Gradient Descent. EACL (Industry Track) 2026: 425-437- 2025
- [c10]Pushpendu Ghosh, Aryan Jain, Promod Yenigalla:
SQLGenie: A Practical LLM based System for Reliable and Efficient SQL Generation. ACL (6) 2025: 1004-1012 - [c9]Sachin Kumar Giroh, Pushpendu Ghosh, Aryan Jain, Harshal Giridhari Paunikar, Aditi Rastogi, Promod Yenigalla, Anish Nediyanchath:
SYNTACT>: Structuring Your Natural Language SOPs into Tailored Ambiguity-Resolved Code Templates. EMNLP (Industry Track) 2025: 2367-2376 - [c8]Anubhav Shrimal, Aryan Jain, Soumyajit Chowdhury, Promod Yenigalla:
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction. EMNLP (Industry Track) 2025: 2749-2763 - [c7]Ryan Hansen, Hardik Setia, Giles Hamilton-Fletcher, Aryan Jain, Zirui Liu, Mariam Zoair, Reem Aboutaleb, Qing Wen, Yu Li, John-Ross Rizzo:
Visual Language Model-Based Food Safety Support for Persons with Blindness and Low Vision. ICCVW 2025: 2524-2533 - [i3]Anubhav Shrimal, Aryan Jain, Soumyajit Chowdhury, Promod Yenigalla:
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction. CoRR abs/2510.08623 (2025) - 2024
- [c6]Aryan Jain, Debjani Ghosh
, Prashant Kumar, Vimal Kumar:
Exploring New Convolutional Neural Network Architectures for Satellite Image Categorization: A Comparative Study. ANTS 2024: 73-77 - [c5]Aradhita Bhandari, Gail S. Batutis, Aryan Jain, Mallory C. Sico, Giles Hamilton-Fletcher, Chen Feng, Todd E. Hudson, John-Ross Rizzo, Kevin C. Chan:
Using Transfer Learning to Refine Object Detection Models for Blind and Low Vision Users. EMBC 2024: 1-4 - 2023
- [c4]Aryan Jain, Jitenkumar Babubhai Rana, Chetan Aggarwal:
Too much of product information : Don't worry, let's look for evidence! EMNLP (Industry Track) 2023: 732-738 - [c3]Bhuvan Sachdeva, Aryan Jain, Anil Singh Parihar:
Analysis and Review of Image Super Resolution for Low Light Enhancement. ICCCNT 2023: 1-7 - [c2]Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta:
Train Offline, Test Online: A Real Robot Learning Benchmark. ICRA 2023: 9197-9203 - [c1]Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS 2023 - [i2]Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? CoRR abs/2303.18240 (2023) - [i1]Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta:
Train Offline, Test Online: A Real Robot Learning Benchmark. CoRR abs/2306.00942 (2023)
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