LVLM-Intrepret: an interpretability tool for large vision-language models
G Ben Melech Stan, E Aflalo… - Proceedings of the …, 2024 - openaccess.thecvf.com
In the rapidly evolving landscape of artificial intelligence multi-modal large language models
are emerging as a significant area of interest. These models which combine various forms of …
are emerging as a significant area of interest. These models which combine various forms of …
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
In the rapidly evolving landscape of artificial intelligence, multi-modal large language
models are emerging as a significant area of interest. These models, which combine various …
models are emerging as a significant area of interest. These models, which combine various …
DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models
The visual projector, which bridges the vision and language modalities and facilitates cross-
modal alignment, serves as a crucial component in MLLMs. However, measuring the …
modal alignment, serves as a crucial component in MLLMs. However, measuring the …
CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs
Large Language Models (LLMs) have become pervasive due to their knowledge absorption
and text-generation capabilities. Concurrently, the copyright issue for pretraining datasets …
and text-generation capabilities. Concurrently, the copyright issue for pretraining datasets …
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
Vision transformers (ViTs) have emerged as a significant area of focus, particularly for their
capacity to be jointly trained with large language models and to serve as robust vision …
capacity to be jointly trained with large language models and to serve as robust vision …
Deep Causal Generative Models with Property Control
Generating data with properties of interest by external users while following the right
causation among its intrinsic factors is important yet has not been well addressed jointly …
causation among its intrinsic factors is important yet has not been well addressed jointly …
Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers
R Karimi, F Faez, Y Zhang, X Li, L Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Contemporary hardware design benefits from the abstraction provided by high-level logic
gates, streamlining the implementation of logic circuits. Logic Synthesis Optimization (LSO) …
gates, streamlining the implementation of logic circuits. Logic Synthesis Optimization (LSO) …
[PDF][PDF] Exploring Explainable NLP Techniques for Trait Extraction and Personality Inference
OA Saad, M Abuelkheir - 2024 - researchgate.net
Explaining AI models' predictions is a crucial step to ensure their trustworthiness and help
users understand a model's behavior. In this thesis, we focus on explaining the predictions …
users understand a model's behavior. In this thesis, we focus on explaining the predictions …