definition: DINOv3 is Meta's self-supervised vision-model family for learning general-purpose image representations and dense visual features without human labels.

prompt: Using the supplied evidence, what is DINOv3?

expected_groups:
without human labels
dense visual features

forbidden_terms:
Daniel's work
few-shot
pose estimation


entity: DETA

definition: DETA is an object detector from the NMS Strikes Back study that trains Deformable DETR with traditional one-to-many IoU-based label assignment and non-maximum suppression.

prompt: What does DETA mean in object detection?

expected_groups:
object detector
object detection

expected_groups: one-to-many IoU-based

forbidden_terms:
Daniel created
few-shot learning


entity: Contrastive learning

definition: Contrastive learning learns representations by drawing related examples together and pushing dissimilar examples apart in an embedding space.

prompt: Explain contrastive learning from the evidence in one sentence.

expected_groups: related similar

expected_groups: dissimilar apart

forbidden_terms: Daniel portfolio


entity: UIUC

definition: UIUC is the University of Illinois Urbana-Champaign, located in the Champaign-Urbana community in Illinois, United States.

prompt: I am asking about the institution itself: where is UIUC?

forbidden_terms:
KAIST
POSTECH
exchange student


behavior: answer

entity: RT-DETR

profile_relation: Daniel contributed RT-DETR support to Hugging Face Transformers, including model implementation and training-related integration work.

prompt: I know what RT-DETR is. What was Daniel's contribution to it?

expected_groups:
Hugging Face Transformers
Transformers

expected_groups: training implementation

forbidden_terms:
negative sampling
few-shot learning
Daniel created RT-DETR


entity: ViTPose

definition: ViTPose is a human-pose-estimation model that uses a plain Vision Transformer backbone and a lightweight decoder to predict body keypoints.

prompt: Describe ViTPose itself rather than Daniel's contribution.

expected_groups: keypoints decoder

forbidden_terms:
few-shot learning
position and orientation
Daniel's work


behavior: retrieve

prompt: Where is Carnegie Mellon University?

forbidden_terms: Daniel KAIST Pittsburgh


behavior: retrieve

prompt: What is CLIP in machine learning?

forbidden_terms: Daniel's few-shot


behavior: retrieve

prompt: NeRF가 무엇인지 알려줘.

forbidden_terms: Daniel 포트폴리오