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Evelyn Duesterwald

2 accepted papers

2024

Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search

AAAI 2024technical

There are increasingly many large language models (LLMs) available to the public. While these LLMs have exhibited impressive abilities on a variety of task, any individual LLM in particular may do well on some tasks and worse on others. Additionally, the performance of these models is heavily depend…

2023

DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning

EMNLP 2023long main

Dialogue State Tracking (DST), a key component of task-oriented conversation systems, represents user intentions by determining the values of pre-defined slots in an ongoing dialogue. Existing approaches use hand-crafted templates and additional slot information to fine-tune and prompt large pre-tr…

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