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Our team is looking to recruit predoctoral and postdoctoral researchers with backgrounds in natural language processing, computer vision, behavioral sciences, and machine learning.

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About

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The MDSR Lab is a group of researchers committed to solving hard problems in the broad area of digital media and marketing. The group develops cutting-edge machine learning approaches for important use cases including content understanding and generation, behavior modeling, and human-computer interaction.

Publications

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 (2025). Long-Term Ad Memorability: Understanding & Generating Memorable Ads. WACV.

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

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

CABINET: Content Relevance based Noise Reduction for Table Question Answering

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

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 (2024). Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. ICLR.

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