304 citations · 468 across the 20 of their papers we have counts for
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Approximately Aligned Decoding
Daniel Melcer, Sujan Gonugondla, Pramuditha Perera +7
It is common to reject undesired outputs of Large Language Models (LLMs); however, current methods to do so require an excessive amount of computation to re-sample after a rejectio…
Compositional Structures in Neural Embedding and Interaction Decompositions
Matthew Trager, Alessandro Achille, Pramuditha Perera +2
We describe a basic correspondence between linear algebraic structures within vector embeddings in artificial neural networks and conditional independence constraints on the probab…
Multi-Modal Hallucination Control by Visual Information Grounding
Alessandro Favero, Luca Zancato, Matthew Trager +5
Generative Vision-Language Models (VLMs) are prone to generate plausible-sounding textual answers that, however, are not always grounded in the input image. We investigate this phe…