22 citations · 23 across the 11 of their papers we have counts for
4 papers · 1 filter
A Differentiable 3D Scene Graph Metric via Contextual Hellinger Triplet Geometry
U-Chae Jun, Yoonhyuk Choi, Jiwoo Kang
3D scene graph prediction is commonly supervised with local object and predicate classification losses. Although effective for slot-wise label prediction, this formulation does not…
SWORD: Scene-Grounded Wasserstein Object-Relation Distance for 3D Scene Graph Prediction
U-Chae Jun, Jaeeun Ko, Yoonhyuk Choi +1
3D scene graph prediction is commonly optimized with object-node and relation-edge classification losses. These objectives encourage exact object and relation label recovery, but t…
When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QA
Hyunseo Oh, Chong-Kwon Kim, Yoonhyuk Choi
Retrieval-augmented generation (RAG) can improve the specificity and grounding of large language model responses, but its effect is not uniformly beneficial in single-turn mental-h…
Persistent Tri-State Message Passing
Yoonhyuk Choi, Jiho Choi, Chong-Kwon Kim +6
In stochastic message passing, an edge's sampled role changes the node states used to compute adaptive weights at later layers. Weight averaging therefore depends on whether edge r…