Conference

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 …
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Long-Term Ad Memorability: Understanding & Generating Memorable Ads
POSIX: Prompt Sensitivity Index for Large Language Models
Despite their remarkable capabilities, Large Language Models (LLMs) are found to be surprisingly sensitive to minor variations in …
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SMART: Submodular Data Mixture Strategy for Instruction Tuning
Instruction Tuning involves finetuning a language model on a collection of instruction-formatted datasets in order to enhance the …
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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) …
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CABINET: Content Relevance based Noise Reduction for Table Question Answering
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 …
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Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models
A salient characteristic of pre-trained language models (PTLMs) is a remarkable improvement in their generalization capability and …
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Parameter Efficient Local Implicit Image Function Network for Face Segmentation
Face parsing is defined as the per-pixel labeling of images containing human faces. The labels are defined to identify key facial …
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Parameter Efficient Local Implicit Image Function Network for Face Segmentation
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 …
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A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot
UMFuse: Unified Multi View Fusion for Human Editing applications
Numerous pose-guided human editing methods have been explored by the vision community due to their extensive practical applications. …
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UMFuse: Unified Multi View Fusion for Human Editing applications
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 …
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Synthesizing Human Gaze Feedback for Improved NLP Performance