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Despite advances in AI, even top models struggle with real-world tasks, achieving only 30% success on a benchmark grounded in market-validated workflows.
Unified ASR for both children and adults is now achievable with a novel Entropy-Aware routing mechanism that enhances performance across diverse speech domains.
GC-LoRA reduces Word Error Rates by up to 10.9% in challenging acoustic environments while adding minimal trainable parameters.
Current AI agents struggle with long-horizon professional tasks, achieving only 30% success in complex GUI workflows, revealing critical gaps in their capabilities.
Achieving state-of-the-art performance with just 10 hours of labeled data, Gumbel-BEARD revolutionizes self-supervised adaptation for speech models in low-resource settings.
Reliable civil court judgments can now be simulated with a framework that adapts to the complexities of legal claims and remedies.
LLMs still fail to demonstrate expert-level proficiency, achieving only ~66% success on a new benchmark of real-world professional tasks spanning finance, healthcare, and law.
