Post-Doctoral Research Visit F/M [DRI Campaign] - Exploring Socio-Cultural Bias in a Multilingual Context

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Type de contrat : Fixed-term contract

Contrat renouvelable : Oui

Niveau de diplôme exigé : PhD or equivalent

Fonction : Post-Doctoral Research Visit

Contexte et atouts du poste

Context

The goal of this project is to address key issues in Large Language Models (LLMs), particularly cultural biases stemming from Western-centric training data. These models often underperform or exhibit prejudice in non-English and especially South American contexts due to limited resources for bias detection. We propose to define sociologically grounded notions of social bias that can be computationally identified and measured. This involves data collection, annotation, and adapting existing datasets. Once biases are defined, we will detect them through model behavior analysis and apply cutting-edge fact-editing techniques to adjust the model’s internal weights, mitigating harmful stereotypes while enhancing culturally relevant knowledge. Our focus is on general, multilingual methods, with a key application to Latin American languages and cultural contexts.

Is regular travel foreseen for this post ?

Regular travels to Chile are planned and fully funded.

Computing resources

Access to high-level Inria HPC clusters is granted. Access to the Jean Zay and Adastra HPC cluster will be sought. 

Mission confiée

Assignments :

With the help of the project team, and especially Djamé Seddah, the recruited person will be taken to develop techniques able to ease the exploration and the mitigation of socio-cultural biases in current Large Language Models. An important part of the project will be devoted to the development of new benchmarks able to assess the exact sensitivity of models to culturally-based biases.    

 

Collaborations :

The person recruited will work in close liaison with (i) other members of the Almanach team involved in the SaLM project (https://salmproject.github.io/)  working on adjacent domains of biases detection and neutralization, (ii) members of Universidad de Chile (led by Valentin Barrière) and Inria Chile (led by Luis Marti, Nayat Sanchez Pi)

Principales activités

  • Establishing the state of the art of relevant techniques to the project 
  • Software development
  • Conducts of experiments
  • Preparation of reports and publications
  • Release as open source the resulting software and resources

 

Compétences

Technical skills and level required :

Excellent level of python + all tools needed for data science, deep learning and natural language processing.Experience with large scale experiments

Languages :
Fluent English. Knowledge of Spanish, especially the variant spoken in Latin-America as well as their regional socio-cultural contexts would  be a plus.  

Relational skills :
Team worker, autonomous and eager to disseminate results.

Other values appreciated : Enthusiasm, team spirit.




Avantages

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage

Rémunération

Salary: 2927€ (Brut) per month