22 citations · 42 across the 13 of their papers we have counts for
5 papers · 1 filter
GenZ: Foundational models as latent variable generators within traditional statistical models
Marko Jojic, Nebojsa Jojic
We present GenZ, a hybrid model that bridges foundational models and statistical modeling through interpretable semantic features. While large language models possess broad domain…
Can MLLMs Find Their Way in a City? Exploring Emergent Navigation from Web-Scale Knowledge
Dwip Dalal, Utkarsh Mishra, Narendra Ahuja +1
Leveraging multimodal large language models (MLLMs) to develop embodied agents offers significant promise for addressing complex real-world tasks. However, current evaluation bench…
Learning Informative Attention Weights for Person Re-Identification
Yancheng Wang, Nebojsa Jojic, Yingzhen Yang
Attention mechanisms have been widely used in deep learning, and recent efforts have been devoted to incorporating attention modules into deep neural networks (DNNs) for person Re-…
Make Some Noise: Towards LLM audio reasoning and generation using sound tokens
Shivam Mehta, Nebojsa Jojic, Hannes Gamper
Integrating audio comprehension and generation into large language models (LLMs) remains challenging due to the continuous nature of audio and the resulting high sampling rates. He…
Echoes in AI: Quantifying lack of plot diversity in LLM outputs
Weijia Xu, Nebojsa Jojic, Sudha Rao +2
With rapid advances in large language models (LLMs), there has been an increasing application of LLMs in creative content ideation and generation. A critical question emerges: can…