Adobe Media and Data Science Research (MDSR) Laboratory
Adobe Media and Data Science Research (MDSR) Laboratory
News
Publications
People
Join us!
Collaborators
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
PDF
Cite
CABINET: Content Relevance based Noise Reduction for Table Question Answering
Table understanding capability of Large Language Models (LLMs) has been extensively studied through the task of question-answering (QA) …
Sohan Patnaik
,
Heril Changwal
,
Milan Aggarwal
,
Sumit Bhatia
,
Yaman Kumar Singla
,
Balaji Krishnamurthy
PDF
Cite
Code
Dataset
Video
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
PDF
Cite
Code
Dataset
Project
Slides
Video
Cite
×