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Found 5 papers, 1 papers with code
SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models
By creating a standardized format for numerous APIs, SpeCrawler aids in streamlining integration processes within API orchestrating systems and facilitating the incorporation of tools into LLMs.
NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval
The third, and most challenging, is the move from the recognition setup to a novel retrieval setup, where the query is a zero-shot entity type, and the expected result is all the sentences from a large, pre-indexed corpus that contain entities of these types, and their corresponding spans.
Reliable and Interpretable Drift Detection in Streams of Short Texts
Data drift is the change in model input data that is one of the key factors leading to machine learning models performance degradation over time.
QAID: Question Answering Inspired Few-shot Intent Detection
Intent detection with semantically similar fine-grained intents is a challenging task.
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems
The rapidly growing market demand for automatic dialogue agents capable of goal-oriented behavior has caused many tech-industry leaders to invest considerable efforts into task-oriented dialog systems.
