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Found 4 papers, 2 papers with code
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems
To fill this gap, we propose Behavior Alignment, a new evaluation metric to measure how well the recommendation strategies made by a LLM-based CRS are consistent with human recommenders'.
Predicting Mergers and Acquisitions: Temporal Dynamic Industry Networks
M&A activities are pivotal for market consolidation, enabling firms to augment market power through strategic complementarities.
Zero-shot Query Reformulation for Conversational Search
Nevertheless, existing zero-shot methods face three primary limitations: they are not universally applicable to all retrievers, their effectiveness lacks sufficient explainability, and they struggle to resolve common conversational ambiguities caused by omission.
An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval
In this work, we aim to reproduce multi-stage retrieval pipelines and explore one of the potential benefits of involving mixed-initiative interaction in conversational passage retrieval scenarios: reformulating raw queries.
