AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment, Sohan Patnaik, Rishabh Jain, Balaji Krishnamurthy, Mausoom Sarkar, CVPR, 2025.

Measuring and Improving Persuasiveness of Large Language Models, Somesh Singh, Yaman Kumar Singla, Harini SI, Balaji Krishnamurthy, ICLR, 2025.

LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs, Somesh Singh, Harini SI, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy, ICLR, 2025.

Measuring And Improving Engagement of Text-to-Image Generation Models, Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy, ICLR, 2025.

It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation, Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy, ICLR, 2025.

ReEdit: Multimodal Exemplar-Based Image Editing using Diffusion Models, Ashutosh Srivastava, Tarun Ram Menta, Abhinava Java, Avadhoot Jadhav, Silky Singh, Surgan Jandial, Balaji Krishnamurthy, WACV, 2025.

Long-Term Ad Memorability: Understanding & Generating Memorable Ads, Harini SI, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy, WACV, 2025.

AdQuestA: Knowledge-Guided Visual Question Answer Framework For Advertisements, Neha Choudhary, Poonam Goyal, Devashish Siwatch, Atharva Chandak, Harsh Mahajan, Varun Khurana, Yaman Kumar Singla, WACV, 2025.

POSIX: Prompt Sensitivity Index for Large Language Models, Anwoy Chatterjee, Kowndinya Renduchintala, Sumit Bhatia, Tanmoy Chakraborty, EMNLP (Findings), 2024.

SMART: Submodular Data Mixture Strategy for Instruction Tuning, Kowndinya Renduchintala, Sumit Bhatia, Ganesh Ramakrishnan, ACL (Findings), 2024.

CABINET: Content Relevance based Noise Reduction for Table Question Answering, Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar Singla, Balaji Krishnamurthy, ICLR, 2024.

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior, Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy, ICLR, 2024.

All should be equal in the eyes of LMs: Counterfactually Aware Fair Text Generation, Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia, AAAI, 2024.

Align via actions: Learning behavior aligns LLMs with human opinions in zero-shot, Aanisha Bhattacharyya, Susmit Aggarwal, Yaman Kumar Singla, Tarun Menta, Nikitha SR, Balaji Krishnamurthy, ACL, 2024.

Advances in Citation Text Generation: Leveraging Multi-Source Seq2Seq Models and Large Language Models, Avinash Anand, Ashwin Nair, Kritarth Prasad, Vrinda Narayan, Naman Lal, Debanjan Mahata, Yaman Kumar Singla, Rajiv Shah, CIKM, 2024.

Parameter Efficient Local Implicit Image Function Network for Face Segmentation, Mausoom Sarkar, Nikitha SR, Mayur Hemani, Rishabh Jain, Balaji Krishnamurthy, CVPR, 2023.

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models, Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh Iyer, Balaji Krishnamurthy, EMNLP, 2023.

Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation, Michael Llordes, Debasis Ganguly, Sumit Bhatia, Chirag Agarwal, SIGIR, 2023.

A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot, Aanisha Bhattacharyya, Yaman Kumar Singla, Balaji Krishnamurthy, Changyou Chen, Rajiv Ratn Shah, EMNLP, 2023.

UMFuse: Unified Multi View Fusion for Human Editing applications, Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy, ICCV, 2023.

Synthesizing Human Gaze Feedback for Improved NLP Performance, Varun Khurana, Yaman Kumar Singla, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy, EACL, 2023.

What do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure, Yaman Kumar Singla, Jui Shah, Rajiv Ratn Shah, Changyou Chen, ICDM, 2023.

VGFlow: Visibility guided flow network for human reposing, Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy, CVPR, 2023.

Persuasion Strategies in Advertisements, Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen, AAAI, 2023.

One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text, Abhinav Java, Shripad Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy, WACV, 2023.

MobiVSR - Mobile Application for Visual Speech Recognition, Nilay Srivastava, Astitwa Saxena, Yaman Kumar Singla, Debanjan Mahata, Rajiv Ratn Shah, Amanda Stent, Roger Zimmerman, InterSpeech, 2023.

LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training, Silky Singh, Shripad Deshmukh, Mausoom Sarkar, Balaji Krishnamurthy, BMVC, 2023.

HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model, Simra Shahid, Tanay Anand, Nikitha SR, Sumit Bhatia, Balaji Krishnamurthy, Nikaash Puri, ACL, 2023.

Explaining RL Decisions with Trajectories, Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian, ICLR, 2023.

Differentiable Agent-based Epidemiology, Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B Aditya Prakash, Ramesh Raskar, AAMAS, 2023.

DeAR Debiasing vision-language models are with additive residuals, Ashish Seth, Mayur Hemani, Chirag Agarwal., CVPR, 2023.

Status-quo policy gradient in Multi-Agent Reinforcement Learning, Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy, AAMAS, 2022.

Span Classification with Structured Information for Disfluency Detection in Spoken Utterances, Sreyan Ghosh, Sonal Kumar, Yaman Kumar Singla, Rajiv Ratn Shah, S Umesh, InterSpeech, 2022.

SHERLock: Self-Supervised Hierarchical Event Representation Learning, Sumedh Sontakke, Sumegh Roychowdury, Mausoom Sarkar, Nikaash Puri, Balaji Krishnamurthy, Laurent Itti, ICPR, 2022.

SARC: Soft Actor Retrospective Critic, Sukriti Verma, Jayakumar Subramanian, Ayush Chopra, Nikaash Puri, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, RLDM, 2022.

SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval, Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, Balaji Krishnamurthy, WACV, 2022.

Minimal: Mining Models for Universal Adversarial Triggers, Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah, AAAI, 2022.

LM-CORE: Language Models with Contextually Relevant External Knowledge, Rachit Bansal, Jivat Meet Kaur, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy, NAACL, 2022.

Data Instance Prior for Transfer Learning in GANs, Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy, WACV, 2022.

CyCLIP: Cyclic Contrastive Language-Image Pretraining, Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover, NeurIPS, 2022.

CoSe-Co: Text Conditioned Generative CommonSense Contextualizer, Rachit Bansal, Jivat Meet Kaur, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy, NAACL, 2022.

Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency, Manraj Grover, Pakhi Bamdev, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah, International Journal of Artificial Intelligence in Education, 2022.

Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems, Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan, JMLR, 2022.

Lifi: Towards linguistically informed frame interpolation, Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar Singla, Rajiv Ratn Shah, Changyou Chen, Roger Zimmermann, ICASSP, 2021.

ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors, Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy, ICCV, 2021.

What Ails One-Shot Image Segmentation: A Data Perspective, Mayur Hemani, Abhinav Patel, Tejas Shimpi, Anirudha Ramesh, Balaji Krishnamurthy, NeurIPS, 2021.

TAN-NTM: Topic Attention Networks for Neural Topic Modeling, Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy, ACL-IJCNLP, 2021.

Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring, Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah, CIKM, 2021.

Robustness of Markov perfect equilibrium to model approximations in general-sum dynamic games, Subramanian J., Sinha A., Mahajan A., Indian Control Conference, 2021.

Medical Dead-ends and Learning to Identify High-Risk States and Treatments, Fatemi M., Killian T., Subramanian J., Ghassemi M., NeurIPS, 2021.

LT-GAN: Self-Supervised GAN with Latent Transformation Detection, Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, WACV, 2021.

DeepABM: Scalable and Efficient Agent-Based Simulations via Graph Convolutional Frameworks - a Case Study for COVID-19 Spread and Interventions, Ayush Chopra, Esma S Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar, Winter Simulation Conference, 2021.

2D to 3D medical image colorization, Aradhya Neeraj Mathur, Apoorv Khattar, Ojaswa Sharma, WACV, 2021.

Towards A Unified Framework for Visual Compatibility Prediction, Ayush Chopra, Kumar Ayush, Anirudh Singhal, Utkarsh Patel, Balaji Krishnamurthy, WACV, 2020.

SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation, Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy, IJCAI, 2020.

SieveNet: A Unified Framework for Robust Image-based Virtual Try-On, Ayush Chopra, Surgan Jandial, Kumar Ayush, Mayur Hemani, Balaji Krishnamurthy, WACV, 2020.

ShapeVis: High-dimensional Data Visualization at Scale, Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy, WWW, 2020.

Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks, Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian, KDD, 2020.

Multi-Modal Association based Grouping for Form Structure Extraction, Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy, WACV, 2020.

MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance, Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy, ICDM, 2020.

Learning based Methods for Code Runtime Complexity Prediction, Jagriti Sikka, Kushal Satya, Yaman Kumar Singla, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann, ECIR, 2020.

Keyphrase Extraction as Sequence Labeling Task using Transformers, Dhruva Sahrawat, Debanjan Mahata, Raymond Zhang, Mayank Kulkarni, Agniv Sharma, Rakesh Gosangi, Amanda Stent, Yaman Kumar Singla, Rajiv Ratn Shah, Roger Zimmermann, ECIR, 2020.

Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition, Yaman Kumar Singla, Dhruva Sharawat, Shubham Maheshwari, Debanjan Mahata, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann, Amanda Stent, AAAI, 2020.

Form2Seq : A Framework for Higher-Order Form Structure Extraction, Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy, EMNLP, 2020.

Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution, Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad Deshmukh, Balaji Krishnamurthy, Sameer Singh, ICLR, 2020.

Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation, Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy, ECCV, 2020.

Charting the Right Manifold: Manifold Mixup for Few-shot Learning, Puneet Mangla, Nupur Kumari, Mayank Singh, Abhishek Sinha, Balaji Krishnamurthy, V N Balasubramaniam., WACV, 2020.

Attributional Robustness Training using Input-Gradient Spatial Alignment, Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy, ECCV, 2020.

 An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare, Killian T., Zhang H., Subramanian J., Fatemi M., Ghassemi M., PMLR, 2020.

Powering Robust Fashion Retrieval with Information Rich Feature Embeddings, Ayush Chopra, Abhishek Sinha, Mausoom Sarkar, Hiresh Gupta, Kumar Ayush, Balaji Krishnamurthy, CVPRW, 2019.

OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation, Nilay Shrivastava, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy, Sukriti Verma, QTML, 2019.

Lipper: Synthesizing Thy Speech using Multi-View Lipreading, Yaman Kumar Singla, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmerman, AAAI, 2019.

Hush-Hush Speak: Speech Reconstruction Using Silent Videos, Shashwat Uttam, Yaman Kumar Singla, Dhruva Sharawat, Mansi Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Amanda Stent, InterSpeech, 2019.

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models, Mayank Singh, Abhishek Sinha, Nupur Kumari, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N Balasubramanian, IJCAI, 2019.

Harnessing AI for speech reconstruction using multiview silent video feed, Yaman Kumar Singla, Mayank Aggarwal, Pratham Nawal, Shin'ichi Satoh, Rajiv Ratn Shah, Roger Zimmerman, ACMMM, 2018.