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cs.CL2026
Exposing the Unsaid: Visualizing Hidden LLM Bias through Stochastic Path Aggregation
Matteo Pelossi, Rita Sevastjanova, Thilo Spinner +1
Large Language Models (LLMs) exhibit representational and syntactic biases that are difficult to evaluate due to the stochastic nature of text generation. Standard auditing methods…
cs.CL2025
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections
Rita Sevastjanova, Robin Gerling, Thilo Spinner +1
Large language models (LLMs) represent words through contextual word embeddings encoding different language properties like semantics and syntax. Understanding these properties is…