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Field
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when manipulated content is used to incite hostility toward marginalized groups. While large language models (LLMs) offer potential for fact-checking and counterspeech, current systems often struggle
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for the automatic detection of changes over time, semantic web technologies for the representation and enrichment of knowledge derived from this detection, and finally LLMs for querying the resulting knowledge bases
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 27 days ago
-supervised by: Mohamed Maouche, Researcher at Inria Raouf Kerkouche, Researcher at Inria Sonia Ben Mokhtar, Researcher at CNRS Scientific context Recent advances in Large Language Models (LLMs) have enabled
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; Assisting in finding, testing and evaluating digital tools, including LLMs, to aid classification, annotation and network building; Investigating Dutch morphological constructions quantitatively and
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to apply. Position Type/Expected Hours of Work: Part-time. 20 hours per week. Salary Range: $18.40 - $23.50 per hour. Required Education and Experience: The applicant should be a BA senior, MA, JD, LLM
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); a letter of motivation (max 2 pages), outlining how you would investigate the ways emotions are expressed in LLM-generated outputs intended for policymakers; a writing sample such as part of a master
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professionals, but it relies heavily on experienced human instructors, whose availability is limited. Recent advances in artificial intelligence, especially large language models (LLMs), enable the development
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agentic systems. This PhD research will contribute to the field by: Autonomous multi-agent systems for real-world decision-making Agentic LLMs with planning, tool use, and self-evaluation capabilities
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prediction, therapeutic target identification, and precision therapeutics • Developing predictive models, knowledge graphs, NLP/LLM applications, and AI-enabled analytic frameworks • Leading manuscript
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AI approaches, including surrogate modelling and large language model (LLM)-assisted information extraction from openly available international fusion datasets and literature. Applications may be