Can fine-tuning OpenPangu-7B-MLA on EmoBank's bi-perspectival annotations (writer vs. reader) improve its cros

Abstract

Abstract: Speech Language Models (SLMs) have made significant progress in spoken language understanding. Yet it remains unclear whether they can fully perceive non lexical vocal cues alongside spoken words, and respond with empathy that aligns with both emotional and contextual factors. Existing benchmarks typically evaluate linguistic, acoustic, reasoning, or dialogue abilities in isolation, overlooking the integration of these skills that is crucial for human-like, emotionally intelligent conversation. We present EchoMind, the first interrelated, multi-level benchmark that simulates the cognitive proc

Research Question

Can fine-tuning OpenPangu-7B-MLA on EmoBank's bi-perspectival annotations (writer vs. reader) improve its cross-domain robustness in empathetic speech understanding tasks when evaluated on DREAM and other multi-level benchmarks?

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