3 papers
cs.CL2026
EQ-5D Classification Using Biomedical Entity-Enriched Pre-trained Language Models and Multiple Instance Learning
Zhyar Rzgar K Rostam, Gábor Kertész
The EQ-5D (EuroQol 5-Dimensions) is a standardized instrument for the evaluation of health-related quality of life. In health economics, systematic literature reviews (SLRs) depend…
cs.CL2025
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs
Patrik Czakó, Gábor Kertész, Sándor Szénási
We present SmoothRot, a novel post-training quantization technique to enhance the efficiency of 4-bit quantization in Large Language Models (LLMs). SmoothRot addresses the critical…
cs.LG2025
Turning LLM Activations Quantization-Friendly
Patrik Czakó, Gábor Kertész, Sándor Szénási
Quantization effectively reduces the serving costs of Large Language Models (LLMs) by speeding up data movement through compressed parameters and enabling faster operations via int…