2 papers
cs.CL2026
Beyond Arrow's Impossibility: Fairness as an Emergent Property of Multi-Agent Collaboration
Sayan Kumar Chaki, Antoine Gourru, Julien Velcin
Fairness in language models is typically studied as a property of a single, centrally optimized model. As large language models become increasingly agentic, we propose that fairnes…
cs.CL2024
When Quantization Affects Confidence of Large Language Models?
Irina Proskurina, Luc Brun, Guillaume Metzler +1
Recent studies introduced effective compression techniques for Large Language Models (LLMs) via post-training quantization or low-bit weight representation. Although quantized weig…