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cs.CL2026
A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales
Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini +1
Automated L2 speech assessment can assign proficiency labels, but often lacks interpretability. We propose a rubric-guided SpeechLLM for multi-aspect, multi-granular assessment, tr…
cs.CL2026
Rubric-Guided Fine-tuning of SpeechLLMs for Multi-Aspect, Multi-Rater L2 Reading-Speech Assessment
Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini +1
Reliable and interpretable automated assessment of second-language (L2) speech remains a central challenge, as large speech-language models (SpeechLLMs) often struggle to align wit…