ReEdit: Multimodal Exemplar-Based Image Editing using Diffusion Models
Modern Text-to-Image (T2I) Diffusion models have revolutionized image editing by enabling the generation of high-quality photorealistic …
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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
Advances in Citation Text Generation: Leveraging Multi-Source Seq2Seq Models and Large Language Models
Citation Text Generation (CTG) in scientific documents often relies on standard summarization techniques, which may not fully capture …
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Align via actions: Learning behavior aligns LLMs with human opinions in zero-shot
Large language models (LLMs) have become ubiquitous in various applications, but aligning them with societal expectations remains …
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All should be equal in the eyes of LMs: Counterfactually Aware Fair Text Generation
Fairness in Language Models (LMs) remains a longstanding challenge, given the inherent biases in training data that can be perpetuated …
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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
Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation
Neural retrieval models (NRMs) have been shown to outperform their statistical counterparts owing to their ability to capture semantic …
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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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