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cs.CL2026
Ensembles of Large Language Models for Identifying EQ-5D Studies in PubMed Based on Their Abstracts
Zhyar Rzgar K. Rostam, Márta Péntek, János Tibor Czere +3
The rapid increase in scientific publications leads to the fact that manual study screening in systematic literature reviews (SLRs) is increasingly resource consuming, inefficient,…
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…