Unverified50% confidenceFactExact time
DecisionRAG's evaluation covers four benchmarks, including a corpus containing 2.68 million Wikipedia paragraphs.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/27/2026
First Seen
Valid until: 1/25/2027
Sources
Related Entities
Related Claims
UnverifiedThe project combines four types of evaluation methods: rule-based deterministic checks, LLM-based judge evaluation, sampling evaluation based on manual annotation, and online evaluation based on user feedback.62% similarUnverifiedTyped Decisions contains four subsets: agent_trace_observability, customer_service, invoice_processing, and security_incidents, each containing 400 rows of data, divided into a training set (300 rows) and a test set (100 rows).61% similarUnverifiedThe fine-tuning used 4,260 training samples and 474 evaluation samples, all of which were STEM question-and-answer data with chain-of-thought.61% similarUnverifiedThe evaluation covered nine text-based scientific benchmarks, sampling 4,531 questions and 100 matched profiles, with 4,488 items completing all five conditions in full.61% similarUnverifiedThe benchmark is built on the Kaggle Benchmarks platform; each model is required to answer 287 scored questions spanning five dimensions: numbers, verbs, translation, cloze, and error correction.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1103022API
curl https://kongchang.com/api/v1/knowledge/claims/1103022MCP
get_claim(id=1103022)