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Adobe Media and Data Science Research (MDSR) Laboratory
Adobe Media and Data Science Research (MDSR) Laboratory
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Social Agents: Collective Intelligence Improves LLM Predictions
In human society, collective decision making has often outperformed the judgment of individuals. Classic examples range from estimating …
Aanisha Bhattacharyya, Abhilekh Borah, Yaman Kumar Singla, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
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Social Agents: Collective Intelligence Improves LLM Predictions
Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries
Visual content memorability has intrigued the scientific community for decades, with applications ranging widely, from understanding …
Sree Bhattacharyya, Yaman Kumar Singla, Sudhir Yarram, Somesh Singh, S I Harini, James Z. Wang
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Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries
SPRO: Improving Image Generation via Self-Play
Recent advances in diffusion models have dramatically improved image fidelity and diversity. However, aligning these models with …
Ritika Jha, Aanisha Bhattacharyya, Yaman Kumar Singla, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
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SPRO: Improving Image Generation via Self-Play
Measuring And Improving Engagement of Text-to-Image Generation Models
Recent advances in text-to-image generation have achieved impressive aesthetic quality, making these models usable for both personal …
Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy
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Measuring And Improving Engagement of Text-to-Image Generation Models
Long-Term Ad Memorability: Understanding & Generating Memorable Ads
Despite the importance of long-term memory in marketing and brand building, until now, there has been no large-scale study on the …
S I Harini, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy
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Long-Term Ad Memorability: Understanding & Generating Memorable Ads
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
Shannon and Weaver’s seminal information theory divides communication into three levels: technical, semantic, and effectiveness. While …
Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
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Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot
Multimedia content, such as advertisements and story videos, exhibit a rich blend of creativity and multiple modalities. They …
Aanisha Bhattacharyya, Yaman Kumar Singla, Balaji Krishnamurthy, Changyou Chen, Rajiv Ratn Shah
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A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot
Synthesizing Human Gaze Feedback for Improved NLP Performance
Integrating human feedback in models can improve the performance of natural language processing (NLP) models. Feedback can be either …
Varun Khurana, Yaman Kumar Singla, Nora Hollenstein, Rajesh Kumar, Balaji Krishnamurthy
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Synthesizing Human Gaze Feedback for Improved NLP Performance

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