2 papers
cs.SD2026
MRMAD: A Multi-Round Multi-Audio Benchmark for Evaluating Acoustic Degradation Perception in Large Audio-Language Models
Yize Li, Ningyuan Yang, Sile Yin +6
Large audio-language models (LALMs) have shown promising progress in understanding speech, music, and general sound events, yet their ability to reason about how audio signals are…
cs.CL2026
StoicLLM: Preference Optimization for Philosophical Alignment in Small Language Models
Ishmam Khan, Sindhuja Thogarrati, Shuo Zhang
While large language models excel at factual adaptation, their ability to internalize nuanced philosophical frameworks under severe data constraints remains underexplored. We inves…