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cs.CL2026
Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Output Prefilling
Silvia Cappelletti, Tobia Poppi, Samuele Poppi +5
Large Language Models (LLMs) are increasingly evaluated on multiple-choice question answering (MCQA) tasks using *first-token probability* (FTP), which selects the answer option wh…
cs.CL2025
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks
Badr Youbi Idrissi, Monica Millunzi, Amelia Sorrenti +2
In the present-day scenario, Large Language Models (LLMs) are establishing their presence as powerful instruments permeating various sectors of society. While their utility offers…