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Michelle Chen Huebscher

2 accepted papers

2024

Assessing Large Language Models on Climate Information

ICML 2024poster

As Large Language Models (LLMs) rise in popularity, it is necessary to assess their capability in critically relevant domains. We present a comprehensive evaluation framework, grounded in science communication research, to assess LLM responses to questions about climate change. Our framework emphasi…

Cited by 28SourcePDFScholar
2022

Decoding a Neural Retriever’s Latent Space for Query Suggestion

EMNLP 2022main

Neural retrieval models have superseded classic bag-of-words methods such as BM25 as the retrieval framework of choice. However, neural systems lack the interpretability of bag-of-words models; it is not trivial to connect a query change to a change in the latent space that ultimately determines the…