Shilong Liu

“First author of Grounding DINO paper presenting open-set object detector marrying Transformer-based DINO with grounded pre-training.”

“Contributed to study analyzing trial records and taxonomy of skill-use modes in LLM agents.”

“Byline author proposing taxonomy classifying self-evolving agents into artifact optimization, infrastructure improvements, and model learning.”

“Co-author contributing to MemEye benchmark construction and validation methodology.”