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Found 2 papers, 1 papers with code
Unveiling LLMs: The Evolution of Latent Representations in a Temporal Knowledge Graph
We propose an end-to-end framework that jointly decodes the factual knowledge embedded in the latent space of LLMs from a vector space to a set of ground predicates and represents its evolution across the layers using a temporal knowledge graph.
Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models
This poses a challenge in efficiently gathering and aligning the data into a unified framework to derive insights related to Corporate Social Responsibility (CSR).
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