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Found 5 papers, 2 papers with code
Large Language Models as User-Agents for Evaluating Task-Oriented-Dialogue Systems
Our work builds upon this by using LLMs to create user-agents for the evaluation of TOD systems.
Establishing Knowledge Preference in Language Models
Language models are known to encode a great amount of factual knowledge through pretraining.
Automated Construction of Theme-specific Knowledge Graphs
Specifically, we start with an entity ontology of the theme from Wikipedia, based on which we then generate candidate relations by Large Language Models (LLMs) to construct a relation ontology.
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
(3) We expand pattern coverage and mitigate bias from initial seeds by integrating feedback from the SLM's predictions on the unlabeled corpus and the synthesis history.
Towards End-to-End Open Conversational Machine Reading
In open-retrieval conversational machine reading (OR-CMR) task, machines are required to do multi-turn question answering given dialogue history and a textual knowledge base.
