{"data":{"full_name":"bryanwilie/pick","name":"pick","description":"PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue Systems. This approach reduces hallucination and improves relevance by re-scoring responses, enhancing faithfulness and relevance without extra data or model tuning.","stars":2.0,"forks":1.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"task-oriented-dialogue-systems","last_pushed_at":"2024-12-14T04:56:21+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":2.0,"maturity_score":9.0,"community_score":12.0,"quality_score":23.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-11T09:25:31.152499+00:00"}}