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20162026
most citedA Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks

13 citations · 32 across the 40 of their papers we have counts for

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Showing 2016Show all

2 papers · 1 filter

cs.CL2016

Building a robust sentiment lexicon with (almost) no resource

Mickael Rouvier, Benoit Favre

Creating sentiment polarity lexicons is labor intensive. Automatically translating them from resourceful languages requires in-domain machine translation systems, which rely on lar…

cs.SD2016★ 5 cited

LIA system description for NIST SRE 2016

Mickael Rouvier, Pierre-Michel Bousquet, Moez Ajili +3

This paper describes the LIA speaker recognition system developed for the Speaker Recognition Evaluation (SRE) campaign. Eight sub-systems are developed, all based on a state-of-th…