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Estimating Uncertainty of Omnimodal Large Language Models via External Omnimodal Embeddings
Recent work has investigated Omni-modal Large Language Models (OLLMs), models which can take multiple modalities and their combinations as input, as a way forward to have systems really capable of interacting with their environment. Uncertainty quantification (UQ) for OLLMs, however, remains an open problem: existing m...
FaithformBench: Benchmarking Faithfulness of Mathematical Chain-of-Thought Autoformalisation
A new benchmark for AF faithfulness is proposed that is cheap to apply, sound under weak assumptions, and assesses both positive and negative examples, and measuring validity preservation on unperturbed steps and invalidity preservation on perturbed steps is applied.