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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

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Showing 2016Show all

2 papers · 1 filter

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…

cs.CV2016★ 8 cited

Salient Object Subitizing

Jianming Zhang, Shugao Ma, Mehrnoosh Sameki +6

We study the problem of Salient Object Subitizing, i.e. predicting the existence and the number of salient objects in an image using holistic cues. This task is inspired by the abi…