Automatically Retrieving Explanatory Analogies from Webpages. - Varun Kumar; Savita Bhat; Niranjan Pedanekar (ECIR, 2014)

Which hat are you wearing today? Enabling perspectives while learning computer science. - Abhay Doke; Gaurav Kumar Singh; Varun Kumar; Savita Bhat; Niranjan Pedanekar (FIE, 2014)

Assessing the Need of Augmenting Video Lectures with Supporting Information. - Gaurav Kumar Singh; Abhay Doke; Varun Kumar; Savita Bhat; Niranjan Pedanekar (HCI (14), 2014)

Automatically augmenting learning material with practical questions to increase its relevance. - Gaurav Kumar Singh; Varun Kumar; Savita Bhat; Niranjan Pedanekar (FIE, 2015)

Stickipedia: A Search Engine and Repository for Explanatory Analogies. - Varun Kumar; Savita Bhat; Niranjan Pedanekar (ICALT, 2015)

Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts. - Rohit Saxena; Savita Bhat; Niranjan Pedanekar (ICDM Workshops, 2017)

EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling. - Rohit Saxena; Savita Bhat; Niranjan Pedanekar (SocialNLP@ACL, 2018)

Multimodal Approach to Predicting Media Memorability. - Tanmayee Joshi; Sarath Sivaprasad; Savita Bhat; Niranjan Pedanekar (MediaEval, 2018)

What BERTs and GPTs know about your brand? Probing contextual language models for affect associations. - Vivek Srivastava; Stephen Pilli; Savita Bhat; Niranjan Pedanekar; Shirish Karande 001 (DeeLIO@NAACL-HLT, 2021)

It's What You Say and How You Say It: Exploring Audio and Textual Features for Podcast Data. - Neil Kumar Shah; Vivek Srivastava; Mohit Bhardwaj; Satej Kadlay; Dharmeshkumar Agrawal; Savita Bhat; Niranjan Pedanekar (APSIPA ASC, 2023)

Large Language Models As Annotators: A Preliminary Evaluation For Annotating Low-Resource Language Content. - Savita Bhat; Vasudeva Varma (Eval4NLP, 2023)

A Few Good Sentences: Content Selection for Abstractive Text Summarization. - Vivek Srivastava; Savita Bhat; Niranjan Pedanekar (ECML/PKDD (4), 2023)

Generative Models For Indic Languages: Evaluating Content Generation Capabilities. - Savita Bhat; Vasudeva Varma; Niranjan Pedanekar (RANLP, 2023)

AI Writers and Critics: An Exploratory Study on Creative Content Generation and Evaluation by Large Language Models. - Shraddha Vijay Pawar; Savita Bhat; Ganesh Prasath; Shirish S. Karande (CREAI@ECAI, 2024)

Meme Generation with Multi-modal Input and Planning. - Ashutosh Ranjan; Vivek Srivastava; Jyotsana Khatri; Savita Bhat; Shirish S. Karande (MMGR@MM, 2024)

Towards Understanding the Robustness of LLM-based Evaluations under Perturbations. - Manav Chaudhary; Harshit Gupta; Savita Bhat; Vasudeva Varma (CoRR, 2024)

VisualFusion: Enhancing Blog Content with Advanced Infographic Pipeline. - Anurag Deo; Savita Bhat; Shirish S. Karande (WACV, 2025)