When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
arXiv:2508.11383v1 Announce Type: cross Abstract: Large Language Models (LLMs) are highly sensitive to subtle, non-semantic variations in prompt phrasing and…
by ODEFTO AI Labs
arXiv:2508.11383v1 Announce Type: cross Abstract: Large Language Models (LLMs) are highly sensitive to subtle, non-semantic variations in prompt phrasing and…
arXiv:2508.10557v2 Announce Type: replace-cross Abstract: Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT) represent two mainstream model quantization approaches. However, PTQ…
arXiv:2508.10976v1 Announce Type: new Abstract: ASPIC+ is one of the main general frameworks for rule-based argumentation for AI. Although first-order…
arXiv:2508.09991v2 Announce Type: replace-cross Abstract: Automating data extraction from clinical documents offers significant potential to improve efficiency in healthcare settings,…