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Experiments on SemEval-2017 and WebPun show that PunGraph consistently improves the performance of small-scale LLMs and achieves competitive results against strong proprietary models, highlighting the benefits of integrating structured knowledge with LLMs.
Achieving over 20% performance improvement in data-free knowledge distillation, UniDFKD eliminates reliance on architecture-specific priors, paving the way for more robust model training across diverse architectures.
LALMs still struggle to get the joke, with a new benchmark showing they can't reliably recognize, locate, or understand audio puns.