Test-time reasoning with LLMs over object descriptions and dialogue history improves coreference resolution on the SIMMC 2.1 dataset and generalizes better to unseen scenarios and novel objects than supervised encoder-based methods.
Our experiments demonstrate that large lan- guage models can generate effective step-by-step reasoning to align dialogue history with objects in the environment
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Reasoning over Object Descriptions Improves Coreference Resolution in Task-Based Dialogue Systems
Test-time reasoning with LLMs over object descriptions and dialogue history improves coreference resolution on the SIMMC 2.1 dataset and generalizes better to unseen scenarios and novel objects than supervised encoder-based methods.