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Joseph Bradley

3 accepted papers

2024

Two-tiered Encoder-based Hallucination Detection for Retrieval-Augmented Generation in the Wild

EMNLP 2024industry

Detecting hallucinations, where Large Language Models (LLMs) are not factually consistent with a Knowledge Base (KB), is a challenge for Retrieval-Augmented Generation (RAG) systems. Current solutions rely on public datasets to develop prompts or fine-tune a Natural Language Inference (NLI) model. H…

2023

The economic trade-offs of large language models: A case study

ACL 2023industry

Contacting customer service via chat is a common practice. Because employing customer service agents is expensive, many companies are turning to NLP that assists human agents by auto-generating responses that can be used directly or with modifications. With their ability to handle large context wind…

2015

Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence

AISTATS 2015poster

Consider the problem of identifying the underlying qualities of a set of items based on measuring noisy comparisons between pairs of items. The Bradley-Terry-Luce (BTL) and Thurstone models are the most widely used parametric models for such pairwise comparison data. Working within a standard minima…

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