Poster · Sydney

GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation

Name: GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
Start: 2026-12-10T10:00:00+11:00
End: 2026-12-10T13:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Thu 10 Dec 2026, 10:00–13:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 5
Authors: Jette Oberländer, Jan Finkbeiner, Catherine Schoefmann, Emre Neftci
Organisations: RWTH Aachen University, Jülich Research Centre, Research Center Juelich, RWTH, Juelich Research Center
QRS classification: Language models, Efficient and distributed ML systems

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