7 citations · 8 across the 12 of their papers we have counts for
4 papers · 1 filter
Language Model Probabilities are Not Calibrated in Numeric Contexts
Charles Lovering, Michael Krumdick, Viet Dac Lai +5
Some statements have one well-defined continuation (e.g., "the Eiffel Tower is in [Paris]"), whereas others have a natural distribution over multiple options (e.g., "the weighted c…
An Analysis of Multilingual FActScore
Kim Trong Vu, Michael Krumdick, Varshini Reddy +2
FActScore has gained popularity as a metric to estimate the factuality of long-form texts generated by Large Language Models (LLMs) in English. However, there has not been any work…
SEC-QA: A Systematic Evaluation Corpus for Financial QA
Viet Dac Lai, Michael Krumdick, Charles Lovering +3
The financial domain frequently deals with large numbers of long documents that are essential for daily operations. Significant effort is put towards automating financial data anal…
DocFinQA: A Long-Context Financial Reasoning Dataset
Varshini Reddy, Rik Koncel-Kedziorski, Viet Dac Lai +3
For large language models (LLMs) to be effective in the financial domain -- where each decision can have a significant impact -- it is necessary to investigate realistic tasks and…