IndicContextEval is a new 56-hour multilingual benchmark and 7-level prompting framework for evaluating context utilization in AudioLLMs across 8 Indic languages.
Smile: Speech meta in-context learning for low-resource language automatic speech recognition,
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FSA-GRPO applies reinforcement learning with a few-shot-aware reward to auditory LLMs, improving few-shot performance on children's ASR, speech translation, and audio tasks when trained only on adult data.
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IndicContextEval: A Benchmark for Evaluating Context Utilisation in Audio Large Language Models Across 8 Indic Languages
IndicContextEval is a new 56-hour multilingual benchmark and 7-level prompting framework for evaluating context utilization in AudioLLMs across 8 Indic languages.
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FSA-GRPO: Teaching Auditory LLMs to Use Few-shot Demonstrations
FSA-GRPO applies reinforcement learning with a few-shot-aware reward to auditory LLMs, improving few-shot performance on children's ASR, speech translation, and audio tasks when trained only on adult data.