Alignement of LLMs, hate speech detection

When:
30/11/2024 – 01/12/2024 all-day
2024-11-30T01:00:00+01:00
2024-12-01T01:00:00+01:00

Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : NAVER Labs
Durée : 6 mois
Contact : julien.velcin@univ-lyon2.fr
Date limite de publication : 2024-11-30

Contexte :
This internship is part of an ANR project called DIKÉ (https://www.anr-dike.fr/), which aims at studying bias, fairness and ethics of compressed NLP models. Results are expected to be reported in a paper by the end of the internship (or soon after). The internship will be hosted at NAVER LABS Europe and co-supervised by NAVER LABS and Lyon 2 University researchers.

Sujet :
The goal of this internship is to investigate strategies to diminish offensive content generation focusing on implicit offensive speech in multilingual settings. More details and online application here: https://europe.naverlabs.com/job/offensive-content-mitigation-research-internship/

Profil du candidat :
PhD or last year MSc student in NLP-related domains

Formation et compétences requises :
– Solid deep learning and NLP background
– Strong programming skills, with knowledge of PyTorch, NumPy, and the HF Transformers
– Familiarity with recent preference optimization techniques, such as DPO, is a plus
– Ability to communicate in English; knowledge of French is an advantage

Adresse d’emploi :
NAVER Labs, Europe
6 Chem. de Maupertuis, 38240 Meylan