TreeTracer aggregates stochastic LLM generations into syntax-aligned Sankey trees with contrastive inference to visualize and quantify hidden representational biases across demographic ontologies.
Surface form competition: Why the highest probability answer isn’t always right.arXiv preprint arXiv:2104.08315
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iAmTime is a time-series foundation model that uses instruction-conditioned in-context learning from demonstrations to perform zero-shot adaptation on forecasting, imputation, classification, and related tasks.
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Exposing the Unsaid: Visualizing Hidden LLM Bias through Stochastic Path Aggregation
TreeTracer aggregates stochastic LLM generations into syntax-aligned Sankey trees with contrastive inference to visualize and quantify hidden representational biases across demographic ontologies.
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A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks
iAmTime is a time-series foundation model that uses instruction-conditioned in-context learning from demonstrations to perform zero-shot adaptation on forecasting, imputation, classification, and related tasks.