3 papers
cs.CL2025
Enough Coin Flips Can Make LLMs Act Bayesian
Ritwik Gupta, Rodolfo Corona, Jiaxin Ge +4
Large language models (LLMs) exhibit the ability to generalize given few-shot examples in their input prompt, an emergent capability known as in-context learning (ICL). We investig…
cs.CV2025
Images are Worth Variable Length of Representations
Lingjun Mao, Rodolfo Corona, Xin Liang +2
Most existing vision encoders map images into a fixed-length sequence of tokens, overlooking the fact that different images contain varying amounts of information. For example, a v…
cs.CV2024
Analyzing The Language of Visual Tokens
David M. Chan, Rodolfo Corona, Joonyong Park +3
With the introduction of transformer-based models for vision and language tasks, such as LLaVA and Chameleon, there has been renewed interest in the discrete tokenized representati…