What is the Path to Fast Fault Simulation? - Miron Abramovici; Balaji Krishnamurthy; Rob Mathews; Bill Rogers; Michael Schulz; Sharad Seth; John A. Waicukauski (ITC, 1988)

Embedding Hamiltonians and Hypercubes in Star Interconnection Graphs. - Madhusudan Nigam; Sartaj Sahni; Balaji Krishnamurthy (ICPP (3), 1990)

Localized Hierarchical Graph Cuts. - Anubha Rastogi; Balaji Krishnamurthy (ICVGIP, 2008)

Refinement of depth maps by fusion of multiple estimates. - Balaji Krishnamurthy; Anubha Rastogi (J. Electronic Imaging, 2013)

Learning Vector-space Representations of Items for Recommendations Using Word Embedding Models. - Balaji Krishnamurthy; Nikaash Puri (ICCS, 2016)

Introspection: Accelerating Neural Network Training By Learning Weight Evolution. - Abhishek Sinha; Aahitagni Mukherjee; Mausoom Sarkar; Balaji Krishnamurthy (ICLR (Poster), 2017)

MAGIX: Model Agnostic Globally Interpretable Explanations. - Nikaash Puri; Piyush Gupta; Pratiksha Agarwal; Sukriti Verma; Balaji Krishnamurthy (CoRR, 2017)

Reinforcement Learning Based Conversational Search Assistant. - Milan Aggarwal; Aarushi Arora; Shagun Sodhani; Balaji Krishnamurthy (CoRR, 2017)

Improving Search Through A3C Reinforcement Learning Based Conversational Agent. - Milan Aggarwal; Aarushi Arora; Shagun Sodhani; Balaji Krishnamurthy (ICCS (2), 2018)

Multimapper: Data Density Sensitive Topological Visualization. - Bishal Deb; Ankita Sarkar; Nupur Kumari; Akash Rupela; Piyush Gupta; Balaji Krishnamurthy (ICDM Workshops, 2018)

Understanding Adversarial Space Through the Lens of Attribution. - Mayank Singh 007; Nupur Kumari; Abhishek Sinha; Balaji Krishnamurthy (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space. - Abhishek Sinha; Mayank Singh 007; Balaji Krishnamurthy (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space. - Mayank Singh 007; Abhishek Sinha; Balaji Krishnamurthy (CoRR, 2018)

ReDecode Framework for Iterative Improvement in Paraphrase Generation. - Milan Aggarwal; Nupur Kumari; Ayush Bansal; Balaji Krishnamurthy (CoRR, 2018)

Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. - Ayush Chopra; Abhishek Sinha; Hiresh Gupta; Mausoom Sarkar; Kumar Ayush; Balaji Krishnamurthy (CVPR Workshops, 2019)

Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework. - Kumar Ayush; Surgan Jandial; Ayush Chopra; Mayur Hemani; Balaji Krishnamurthy (ICCV Workshops, 2019)

Powering Virtual Try-On via Auxiliary Human Segmentation Learning. - Kumar Ayush; Surgan Jandial; Ayush Chopra; Balaji Krishnamurthy (ICCV Workshops, 2019)

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. - Nupur Kumari; Mayank Singh 007; Abhishek Sinha; Harshitha Machiraju; Balaji Krishnamurthy; Vineeth N. Balasubramanian (IJCAI, 2019)

Attention Based Natural Language Grounding by Navigating Virtual Environment. - Abhishek Sinha; Akilesh B; Mausoom Sarkar; Balaji Krishnamurthy (WACV, 2019)

OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation. - Nilay Shrivastava; Nikaash Puri; Piyush Gupta; Balaji Krishnamurthy; Sukriti Verma (CoRR, 2019)

Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation. - Mausoom Sarkar; Milan Aggarwal; Arneh Jain; Hiresh Gupta; Balaji Krishnamurthy (CoRR, 2019)

On the Benefits of Attributional Robustness. - Mayank Singh 007; Nupur Kumari; Puneet Mangla; Abhishek Sinha; Vineeth N. Balasubramanian; Balaji Krishnamurthy (CoRR, 2019)

A Method for Computing Class-wise Universal Adversarial Perturbations. - Tejus Gupta; Abhishek Sinha; Nupur Kumari; Mayank Singh 007; Balaji Krishnamurthy (CoRR, 2019)

Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency. - Piyush Gupta; Nikaash Puri; Sukriti Verma; Dhruv Kayastha; Shripad V. Deshmukh; Balaji Krishnamurthy; Sameer Singh 001 (CoRR, 2019)

Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation. - Mausoom Sarkar; Milan Aggarwal; Arneh Jain; Hiresh Gupta; Balaji Krishnamurthy (ECCV (28), 2020)

Attributional Robustness Training Using Input-Gradient Spatial Alignment. - Mayank Singh 007; Nupur Kumari; Puneet Mangla; Abhishek Sinha; Vineeth N. Balasubramanian; Balaji Krishnamurthy (ECCV (27), 2020)

Form2Seq : A Framework for Higher-Order Form Structure Extraction. - Milan Aggarwal; Hiresh Gupta; Mausoom Sarkar; Balaji Krishnamurthy (EMNLP (1), 2020)

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

Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution. - Nikaash Puri; Sukriti Verma; Piyush Gupta; Dhruv Kayastha; Shripad V. Deshmukh; Balaji Krishnamurthy; Sameer Singh 001 (ICLR, 2020)

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

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

Charting the Right Manifold: Manifold Mixup for Few-shot Learning. - Puneet Mangla; Mayank Singh 007; Abhishek Sinha; Nupur Kumari; Vineeth N. Balasubramanian; Balaji Krishnamurthy (WACV, 2020)

Towards a Unified Framework for Visual Compatibility Prediction. - Anirudh Singhal; Ayush Chopra; Kumar Ayush; Utkarsh Patel; Balaji Krishnamurthy (WACV, 2020)

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

Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss. - Pinkesh Badjatiya; Mausoom Sarkar; Abhishek Sinha; Siddharth Singh; Nikaash Puri; Balaji Krishnamurthy (CoRR, 2020)

Exploring Neural Models for Parsing Natural Language into First-Order Logic. - Hrituraj Singh; Milan Aggarwal; Balaji Krishnamurthy (CoRR, 2020)

TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback. - Surgan Jandial; Ayush Chopra; Pinkesh Badjatiya; Pranit Chawla; Mausoom Sarkar; Balaji Krishnamurthy (CoRR, 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 (CoRR, 2020)

Unsupervised Hierarchical Concept Learning. - Sumegh Roychowdhury; Sumedh A. Sontakke; Nikaash Puri; Mausoom Sarkar; Milan Aggarwal; Pinkesh Badjatiya; Balaji Krishnamurthy; Laurent Itti (CoRR, 2020)

Data Instance Prior for Transfer Learning in GANs. - Puneet Mangla; Nupur Kumari; Mayank Singh 007; Vineeth N. Balasubramanian; Balaji Krishnamurthy (CoRR, 2020)

TAN-NTM: Topic Attention Networks for Neural Topic Modeling. - Madhur Panwar; Shashank Shailabh; Milan Aggarwal; Balaji Krishnamurthy (ACL/IJCNLP (1), 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)

Leveraging Style and Content Features for Text Conditioned Image Retrieval. - Pranit Chawla; Surgan Jandial; Pinkesh Badjatiya; Ayush Chopra; Mausoom Sarkar; Balaji Krishnamurthy (CVPR Workshops, 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 Datasets and Benchmarks, 2021)

LT-GAN: Self-Supervised GAN with Latent Transformation Detection. - Parth Patel; Nupur Kumari; Mayank Singh 007; Balaji Krishnamurthy (WACV, 2021)

DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. - Ayush Chopra; Ramesh Raskar; Jayakumar Subramanian; Balaji Krishnamurthy; Esma Senturk Gel; Santiago Romero-Brufau; Kalyan S. Pasupathy; Thomas C. Kingsley (WSC, 2021)

Information-theoretic Evolution of Model Agnostic Global Explanations. - Sukriti Verma; Nikaash Puri; Piyush Gupta; Balaji Krishnamurthy (CoRR, 2021)

Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms. - Sumedh A. Sontakke; Sumegh Roychowdhury; Mausoom Sarkar; Nikaash Puri; Balaji Krishnamurthy; Laurent Itti (CoRR, 2021)

MINIMAL: Mining Models for Data Free Universal Adversarial Triggers. - Swapnil Parekh; Yaman Kumar Singla; Somesh Singh 003; Changyou Chen; Balaji Krishnamurthy; Rajiv Ratn Shah (CoRR, 2021)

DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks. - Ayush Chopra; Esma Senturk Gel; Jayakumar Subramanian; Balaji Krishnamurthy; Santiago Romero-Brufau; Kalyan S. Pasupathy; Thomas C. Kingsley; Ramesh Raskar (CoRR, 2021)

MINIMAL: Mining Models for Universal Adversarial Triggers. - Yaman Kumar Singla; Swapnil Parekh; Somesh Singh 003; Changyou Chen; Balaji Krishnamurthy; Rajiv Ratn Shah (AAAI, 2022)

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)

Distilling the Undistillable: Learning from a Nasty Teacher. - Surgan Jandial; Yash Khasbage; Arghya Pal; Vineeth N. Balasubramanian; Balaji Krishnamurthy (ECCV (13), 2022)

SHERLock: Self-Supervised Hierarchical Event Representation Learning. - S. Roychowdhury; Sumedh A. Sontakke; Laurent Itti; M. Sarkar; Milan Aggarwal; Pinkesh Badjatiya; Nikaash Puri; Balaji Krishnamurthy (ICPR, 2022)

CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. - Rachit Bansal; Milan Aggarwal; Sumit Bhatia; Jivat Neet Kaur; Balaji Krishnamurthy (NAACL-HLT, 2022)

LM-CORE: Language Models with Contextually Relevant External Knowledge. - Jivat Neet Kaur; Sumit Bhatia; Milan Aggarwal; Rachit Bansal; Balaji Krishnamurthy (NAACL-HLT (Findings), 2022)

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

Data InStance Prior (DISP) in Generative Adversarial Networks. - Puneet Mangla; Nupur Kumari; Mayank Singh 007; Balaji Krishnamurthy; Vineeth N. Balasubramanian (WACV, 2022)

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models. - Vedant Singh; Surgan Jandial; Ayush Chopra; Siddharth Ramesh; Balaji Krishnamurthy; Vineeth N. Balasubramanian (CoRR, 2022)

INDIGO: Intrinsic Multimodality for Domain Generalization. - Puneet Mangla; Shivam Chandhok; Milan Aggarwal; Vineeth N. Balasubramanian; Balaji Krishnamurthy (CoRR, 2022)

Differentiable Agent-based Epidemiology. - Ayush Chopra; Alexander Rodríguez; Jayakumar Subramanian; Balaji Krishnamurthy; B. Aditya Prakash; Ramesh Raskar (CoRR, 2022)

Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines. - Yaman Kumar Singla; Rajat Jha; Arunim Gupta; Milan Aggarwal; Aditya Garg; Ayush Bhardwaj; Tushar Malyan; Balaji Krishnamurthy; Rajiv Ratn Shah; Changyou Chen (CoRR, 2022)

Persuasion Strategies in Advertisements. - Yaman Kumar 001; Rajat Jha; Arunim Gupta; Milan Aggarwal; Aditya Garg; Tushar Malyan; Ayush Bhardwaj; Rajiv Ratn Shah; Balaji Krishnamurthy; Changyou Chen (AAAI, 2023)

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

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

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

RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. - Surgan Jandial; Yash Khasbage; Arghya Pal; Balaji Krishnamurthy; Vineeth N. Balasubramanian (COMAD/CODS, 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)

Gatha: Relational Loss for enhancing text-based style transfer. - Surgan Jandial; Shripad V. Deshmukh; Abhinav Java; Simra Shahid; Balaji Krishnamurthy (CVPR Workshops, 2023)

Parameter Efficient Local Implicit Image Function Network for Face Segmentation. - Mausoom Sarkar; Nikitha S. R.; Mayur Hemani; Rishabh Jain; Balaji Krishnamurthy (CVPR, 2023)

Synthesizing Human Gaze Feedback for Improved NLP Performance. - Varun Khurana; Yaman Kumar 001; Nora Hollenstein; Rajesh Kumar; Balaji Krishnamurthy (EACL, 2023)

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

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models. - H. S. V. N. S. Kowndinya Renduchintala; Krishnateja Killamsetty; Sumit Bhatia; Milan Aggarwal; Ganesh Ramakrishnan; Rishabh K. Iyer; Balaji Krishnamurthy (EMNLP (Findings), 2023)

Computable Contracts by Extracting Obligation Logic Graphs. - Sergio Servantez; Nedim Lipka; Alexa F. Siu; Milan Aggarwal; Balaji Krishnamurthy; Aparna Garimella; Kristian J. Hammond; Rajiv Jain (ICAIL, 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)

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

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

Towards Estimating Transferability using Hard Subsets. - Tarun Ram Menta; Surgan Jandial; Akash Patil; Vimal KB; Saketh Bachu; Balaji Krishnamurthy; Vineeth N. Balasubramanian; Chirag Agarwal; Mausoom Sarkar (CoRR, 2023)

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models. - H. S. V. N. S. Kowndinya Renduchintala; Krishnateja Killamsetty; Sumit Bhatia; Milan Aggarwal; Ganesh Ramakrishnan; Rishabh K. Iyer; Balaji Krishnamurthy (CoRR, 2023)

HyHTM: Hyperbolic Geometry based Hierarchical Topic Models. - Simra Shahid; Tanay Anand; Nikitha Srikanth; Sumit Bhatia; Balaji Krishnamurthy; Nikaash Puri (CoRR, 2023)

SARC: Soft Actor Retrospective Critic. - Sukriti Verma; Ayush Chopra; Jayakumar Subramanian; Mausoom Sarkar; Nikaash Puri; Piyush Gupta; Balaji Krishnamurthy (CoRR, 2023)

FODVid: Flow-guided Object Discovery in Videos. - Silky Singh; Shripad V. Deshmukh; Mausoom Sarkar; Rishabh Jain; Mayur Hemani; Balaji Krishnamurthy (CoRR, 2023)

Long-Term Memorability On Advertisements. - Harini S. I; Somesh Singh 003; Yaman Kumar Singla; Aanisha Bhattacharyya; Veeky Baths; Changyou Chen; Rajiv Ratn Shah; Balaji Krishnamurthy (CoRR, 2023)

All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation. - Pragyan Banerjee; Abhinav Java; Surgan Jandial; Simra Shahid; Shaz Furniturewala; Balaji Krishnamurthy; Sumit Bhatia (CoRR, 2023)

Behavior Optimized Image Generation. - Varun Khurana; Yaman Kumar Singla; Jayakumar Subramanian; Rajiv Ratn Shah; Changyou Chen; Zhiqiang Xu; Balaji Krishnamurthy (CoRR, 2023)

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)

Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract). - Shaz Furniturewala; Surgan Jandial; Abhinav Java; Simra Shahid; Pragyan Banerjee; Balaji Krishnamurthy; Sumit Bhatia; Kokil Jaidka (AAAI, 2024)

flame: A Framework for Learning in Agent-based ModEls. - Ayush Chopra; Jayakumar Subramanian; Balaji Krishnamurthy; Ramesh Raskar (AAMAS, 2024)

Active Transferability Estimation. - Tarun Ram Menta; Surgan Jandial; Akash Patil; Saketh Bachu; Vimal K. B.; Balaji Krishnamurthy; Vineeth N. Balasubramanian; Mausoom Sarkar; Chirag Agarwal (CVPR Workshops, 2024)

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. - Ashmit Khandelwal; Aditya Agrawal; Aanisha Bhattacharyya; Yaman Kumar 001; Somesh Singh 003; Uttaran Bhattacharya; Ishita Dasgupta 002; Stefano Petrangeli; Rajiv Ratn Shah; Changyou Chen; Balaji Krishnamurthy (ICLR, 2024)

CABINET: Content Relevance-based Noise Reduction for Table Question Answering. - Sohan Patnaik; Heril Changwal; Milan Aggarwal; Sumit Bhatia; Yaman Kumar 001; Balaji Krishnamurthy (ICLR, 2024)

LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs. - Somesh Singh 003; Harini S. I; Yaman Kumar Singla; Veeky Baths; Rajiv Ratn Shah; Changyou Chen; Balaji Krishnamurthy (CoRR, 2024)

Measuring and Improving Persuasiveness of Large Language Models. - Somesh Singh 003; Yaman Kumar Singla; Harini S. I; Balaji Krishnamurthy (CoRR, 2024)

ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models. - Ashutosh Srivastava; Tarun Ram Menta; Abhinav Java; Avadhoot Jadhav; Silky Singh; Surgan Jandial; Balaji Krishnamurthy (CoRR, 2024)

Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning. - Sohan Patnaik; Milan Aggarwal; Sumit Bhatia; Balaji Krishnamurthy (ACL (1), 2025)

AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models. - Sohan Patnaik; Rishabh Jain; Balaji Krishnamurthy; Mausoom Sarkar (CVPR, 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)

Teaching Human Behavior Improves Content Understanding Abilities Of VLMs. - Somesh Kumar Singh; Harini S. I; Yaman Kumar Singla; Changyou Chen; Rajiv Ratn Shah; Veeky Baths; Balaji Krishnamurthy (ICLR, 2025)

Measuring And Improving Persuasiveness Of Large Language Models. - Somesh Kumar Singh; Yaman Kumar Singla; Harini S. I; Balaji Krishnamurthy (ICLR, 2025)

CoPrompter: User-Centric Evaluation of LLM Instruction Alignment for Improved Prompt Engineering. - Ishika Joshi; Simra Shahid; Shreeya Manasvi Venneti; Manushree Vasu; Yantao Zheng; Yunyao Li 001; Balaji Krishnamurthy; Gromit Yeuk-Yin Chan (IUI, 2025)

Long-Term Ad Memorability: Understanding & Generating Memorable Ads. - Harini S. I; Somesh Singh 003; Yaman Kumar Singla; Aanisha Bhattacharyya; Veeky Baths; Changyou Chen; Rajiv Ratn Shah; Balaji Krishnamurthy (WACV, 2025)

REEDIT: Multimodal Exemplar-Based Image Editing. - Ashutosh Srivastava; Tarun Ram Menta; Abhinav Java; Avadhoot Jadhav; Silky Singh; Surgan Jandial; Balaji Krishnamurthy (WACV, 2025)

EOPose : Exemplar-based object reposing using Generalized Pose Correspondences. - Sarthak Mehrotra; Rishabh Jain; Mayur Hemani; Balaji Krishnamurthy; Mausoom Sarkar (CoRR, 2025)

Towards Efficient Exemplar Based Image Editing with Multimodal VLMs. - Avadhoot Jadhav; Ashutosh Srivastava; Abhinav Java; Silky Singh; Tarun Ram Menta; Surgan Jandial; Balaji Krishnamurthy (CoRR, 2025)