Solving the Families In the Wild Kinship Verification Challenge by Program Synthesis
원문 초록
Kinship verification is the task of determining whether a parent-child, sibling, or grandparent-grandchild relationship exists between two people and is important in social media applications, forensic investigations, finding missing children, and reuniting families. We demonstrate high quality kinship verification by participating in the 2021 Recognizing Families in the Wild challenge which provides the largest publicly available dataset in the field. Our approach is among the top 3 winning entries in the competition. We ensemble models written by both human experts and a foundation model, OpenAI Codex, trained on text and code. We use Codex to generate model variants, and also demonstrate its ability to generate entire running programs for kinship verification tasks of specific relationships.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
CLEVER: A Curated Benchmark for Formally Verified Code Generation
Transductively Informed Inductive Program Synthesis
PoE-World: Compositional World Modeling with Products of Programmatic Experts
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Rewriting Pre-Training Data Boosts LLM Performance in Math and Code
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification
토론
이 논문과 연결된 포럼 글이 아직 없습니다.