activity
20162024
most citedGrounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)

30 citations · 68 across the 5 of their papers we have counts for

collaborators
Showing 2016 · cs.HCShow all

1 paper · 2 filters

cs.HC2016★ 4 cited

Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election

Mehrnoosh Sameki, Mattia Gentil, Kate K. Mays +2

Opinions about the 2016 U.S. Presidential Candidates have been expressed in millions of tweets that are challenging to analyze automatically. Crowdsourcing the analysis of politica…