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Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models Y ang Jiao
The current methods follow the paradigm of adapting the visual task outputs to language-oriented formats.
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
To design an efficient intervention, decision-makers need not only to estimate the total effect of the intervention, but also understand the underlying causal mechanisms driving this effect.
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
LLMs sharply declines beyond their max training lengths.
The Implicit Bias of Gradient Descent on Separable Multiclass Data
However, there is a noticeable gap in analysis for multiclass classification, with only a handful of results which themselves are restricted to the cross-entropy loss.
3D-Aware Visual Question Answering about Parts, Poses and Occlusions
Visual question answering ( VQA) is a challenging task that requires an in-depth understanding of vision and language, as well as multi-modal reasoning.
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
In this case, accurately recognizing the action requires richer contextual information from the background and surroundings.
Towards Distribution-Agnostic Generalized Category Discovery
While several previous works have focused on classifying close-set samples and detecting open-set samples during testing, it's still essential to be able to classify unknown subjects as human beings.