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University of Science and Technology
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LLMs still struggle to understand the meaning of common phrases, idioms, and compound words, revealing critical gaps in semantic reasoning.
Achieve robust maritime scene segmentation by jointly learning restoration, fusion, and segmentation, outperforming prior methods in complex, degraded conditions.
Navigate massive codebases with LLMs using a "scouting-first" approach that slashes token consumption without sacrificing reasoning accuracy.
Fine-tune your LLM faster on less data: this entropy-based data selection method slashes compute costs without sacrificing performance.
