Survey on real-time facial expression recognition techniques. - Shubhada P. Deshmukh; Manasi Patwardhan 001; Anjali R. Mahajan (IET Biom., 2016)

Towards a new perspective on context based citation index of research articles. - ParvezAhamad Kazi; Manasi Patwardhan 001; Pushkar S. Joglekar (Scientometrics, 2016)

Modeling and detecting change in user behavior through his social media posting using cluster analysis. - Deepali J. Joshi; Nikhil Supekar; Rashi Chauhan; Manasi S. Patwardhan (CODS, 2017)

Feedback based real time facial and head gesture recognition for e-learning system. - Shubhada P. Deshmukh; Manasi S. Patwardhan; Anjali R. Mahajan (COMAD/CODS, 2018)

Mental health analysis using deep learning for feature extraction. - Deepali J. Joshi; Mohit Makhija; Yash Nabar; Ninad Nehete; Manasi S. Patwardhan (COMAD/CODS, 2018)

Moving Disambiguation of Regulations from the Cathedral to the Bazaar. - Manasi Patwardhan 001; Richa Sharma; Abhishek Sainani; Shirish Karande 001; Smita Ghaisas (HCOMP (WIP&Demo), 2018)

On Localizing Keywords in Continuous Speech using Mismatched Crowd. - Purushotam G. Radadia; Tushar Madhesia; Kanika Kalra; Anand Sriraman; Manasi Patwardhan 001; Shirish Karande 001 (HCOMP (WIP&Demo), 2018)

Towards automating disambiguation of regulations: using the wisdom of crowds. - Manasi Patwardhan 001; Abhishek Sainani; Richa Sharma; Shirish Karande 001; Smita Ghaisas (ASE, 2018)

From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training. - Mayur Patidar; Surabhi Kumari; Manasi Patwardhan 001; Shirish Karande 001; Puneet Agarwal; Lovekesh Vig; Gautam Shroff (DeepLo@EMNLP-IJCNLP, 2019)

Understanding Advertisements with BERT. - Kanika Kalra; Bhargav Kurma; Silpa Vadakkeeveetil Sreelatha; Manasi Patwardhan 001; Shirish Karande 001 (ACL, 2020)

Improving NMT via Filtered Back Translation. - Nikhil Jaiswal; Mayur Patidar; Surabhi Kumari; Manasi Patwardhan 001; Shirish Karande 001; Puneet Agarwal; Lovekesh Vig (WAT@AAC/IJCNLPL, 2020)

Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels. - Stephen Pilli; Manasi Patwardhan 001; Niranjan Pedanekar; Shirish Karande 001 (CVPR Workshops, 2020)

Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data. - Bhagyashree Gaikwad; Ankita Sontakke; Manasi Patwardhan 001; Niranjan Pedanekar; Shirish Karande 001 (ICCVW, 2021)

Performance of BERT on Persuasion for Good. - Saumajit Saha; Kanika Kalra; Manasi Patwardhan 001; Shirish Karande 001 (ICON, 2021)

A Generic Few-Shot Solution for Food Shelf-Life Prediction using Meta-Learning. - Harini S; Jayita Dutta; Manasi Patwardhan 001; Parijat Deshpande; Shirish Karande 001; Beena Rai (AIxFood @ ACM Multimedia, 2021)

Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper). - Bhagyashree Gaikwad; Bhargav Kurma; Manasi Patwardhan 001; Shirish Karande 001; Niranjan Pedanekar (DE-FACTIFY@AAAI, 2022)

Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing. - Rajaswa Patil; Manasi Patwardhan 001; Shirish Karande 001; Lovekesh Vig; Gautam Shroff (TL4NLP, 2022)

Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation. - Shabbirhussain Bhaisaheb; Shubham Paliwal; Rajaswa Patil; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (EACL (Findings), 2023)

Ontology Guided Supervised Contrastive Learning For Fine-grained Attribute Extraction From Fashion Images. - Shubham Paliwal; Bhagyashree Gaikwad; Mayur Patidar; Manasi Patwardhan 001; Lovekesh Vig; Meghna Mahajan; Bagya Lakshmi V; Shirish S. Karande (eCom@SIGIR, 2023)

Generalization of Fine Granular Extractions from Charts. - Shubham Paliwal; Manasi Patwardhan 001; Lovekesh Vig (ICDAR (2), 2023)

Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language. - Ankita Sontakke; Kanika Kalra; Manasi Patwardhan 001; Lovekesh Vig; Raveendra Kumar Medicherla; Ravindra Naik; Shrishti Pradhan (CoRR, 2023)

Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation. - Krishnam Hasija; Shrishti Pradhan; Manasi Patwardhan 001; Raveendra Kumar Medicherla; Lovekesh Vig; Ravindra Naik (CoRR, 2023)

Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting. - Aseem Arora; Shabbirhussain Bhaisaheb; Harshit Nigam; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (CoRR, 2023)

BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks. - Shubham Gandhi; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (AIMLSystems, 2024)

Fashion Attribute Extraction Under an Evolving Ontology. - Aditya Kanade 003; Manasi Patwardhan 001; Mayur Patidar; Lovekesh Vig; Bagyalakshmi Vasudevan (ECCV Workshops (1), 2024)

Ordinal-Meta Learning for Fine-Grained Fruit Quality Prediction. - Aayush Mishra; Manasi Patwardhan 001; Parijat Deshpande; Beena Rai (ECCV Workshops (3), 2024)

Workshop Report on Generative AI-based Software Engineering. - Ravindra Naik; Asha Rajbhoj; Manasi Patwardhan 001; Raveendra Kumar Medicherla (ISEC, 2024)

Translation of Low-Resource COBOL to Logically Correct and Readable Java leveraging High-Resource Java Refinement. - Shubham Gandhi; Manasi Patwardhan 001; Jyotsana Khatri; Lovekesh Vig; Raveendra Kumar Medicherla (LLM4CODE@ICSE, 2024)

Acceleron: A Tool to Accelerate Research Ideation. - Harshit Nigam; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (CoRR, 2024)

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research. - Yilun Zhao 001; Weiyuan Chen; Zhijian Xu; Manasi Patwardhan 001; Chengye Wang; Yixin Liu 003; Lovekesh Vig; Arman Cohan (ACL (1), 2025)

MIR: Methodology Inspiration Retrieval for Scientific Research Problems. - Aniketh Garikaparthi; Manasi Patwardhan 001; Aditya Sanjiv Kanade; Aman Hassan; Lovekesh Vig; Arman Cohan (ACL (1), 2025)

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers. - Zhijian Xu; Yilun Zhao 001; Manasi Patwardhan 001; Lovekesh Vig; Arman Cohan (ACL (1), 2025)

Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction. - Riddhi Jain; Manasi Patwardhan 001; Aayush Mishra; Parijat Deshpande; Beena Rai (CVPR Workshops, 2025)

Workshop Report on Generative AI-based Software Engineering (GenAI4SE 2nd Edition). - Raveendra Kumar Medicherla; Asha Rajbhoj; Manasi Patwardhan 001; Lalit Mohan Sanagavarapu; Vibhu Saujanya Sharma; Ravindra Naik; Pooja Aggarwal (ISEC, 2025)

DBRouting: Routing End User Queries to Databases for Answerability. - Priyangshu Mandal; Manasi Patwardhan 001; Mayur Patidar; Lovekesh Vig (CoRR, 2025)

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery. - Aniketh Garikaparthi; Manasi Patwardhan 001; Lovekesh Vig; Arman Cohan (CoRR, 2025)

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies. - Shubham Gandhi; Dhruv Shah; Manasi Patwardhan 001; Lovekesh Vig; Gautam Shroff (CoRR, 2025)