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GUI-Lens boosts GUI grounding accuracy by nearly 25% by enabling iterative visual refinement, transforming how VLMs interact with complex interfaces.
MIRAGE transforms the way we navigate sparse item catalogs, ensuring that recommendation paths are grounded in valid semantics rather than empty spaces.
Control-flow hallucination isn't a bug鈥攊t's a feature of probabilistic LLMs, and Agentic Programming offers a robust solution.
Aligning LLM reasoning with a dedicated recommendation head via reinforcement learning yields state-of-the-art recommendation performance in real-world systems.
LLMs can now reliably extract job skills from text, even in low-resource settings, thanks to a novel framework that enforces output validity and reduces hallucinations.